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  • 151.
    Morant, Amparo
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Karim, Ramin
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Tretten, Phillip
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Improvement of configuration management in railway signalling system2012In: Proceedings of the 2nd International Workshop & Congress on eMaintenance: Dec 12-14 Luleå, Sweden : eMaintenace: trends in technologies and methodologies, challenges, possibilities and applications / [ed] Ramin Karim; Aditya Parita; Uday Kumar, Luleå: Luleå tekniska universitet, 2012, p. 23-32Conference paper (Refereed)
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  • 152.
    Morant, Amparo
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Wisten, Åke
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Niska, Stefan
    Electrical Power systems, Trafikverket, Lulea, Sweden.
    Railway EMI impact on train operation and environment2012In: EMC Europe 2012: International Symposium on Electromagnetic Compatibillity, September 15-21, Rome, Italy, 2012Conference paper (Refereed)
    Abstract [en]

    Several studies in Sweden have looked into railway electromagnetic interference (EMI) either to discover the source of the interference or to determine if the equipment in the system is performing properly. The movement of rolling stock along an electrified track produces certain EMI events. Transient electromagnetic fields are produced in the signalling system when the train leaves the neutral section of the overhead power line and enters the powered section. These transient EM fields are mainly produced by the engine. The track’s infrastructure system has been tested for EMI events, but this phenomenon affects the surrounding environment as well, up to at least 10 meters from the track. The infrastructure is designed so that the return current from locomotives should go through the running rails, but occasionally the ground acts as a conductor, transmitting current to areas that are distant from the rail. The paper reviews the status of Swedish railways with respect to electromagnetic compatibility. This TREND project is a joint project with 7 FP EU.

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  • 153.
    Murua, M.
    et al.
    TECNALIA, Basque Research and Technology Alliance (BRTA), Mikeletegi Pasealekua, 7, 20009 Donostia-San Sebastián, Spain.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. TECNALIA, Basque Research and Technology Alliance (BRTA), Mikeletegi Pasealekua, 7, 20009 Donostia-San Sebastián, Spain.
    Santana, R.
    Computer Science and Artificial Intelligence Department, University of the Basque Country (UPV/EHU), Lardizabal Pasealekua 1, 20018 Donostia-San Sebastián, Spain.
    Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm2022In: Journal of Computational Science, ISSN 1877-7503, E-ISSN 1877-7511, Vol. 60, article id 101578Article in journal (Refereed)
    Abstract [en]

    The Hamiltonian cycle problem consists of finding a cycle in a given graph that passes through every single vertex exactly once, or determining that this cannot be achieved. In this investigation, a graph is considered with an associated set of matrices. The entries of each of the matrix correspond to a different weight of an arc. A multi-objective Hamiltonian cycle problem is addressed here by computing a Pareto set of solutions that minimize the sum of the weights of the arcs for each objective. Our heuristic approach extends the Branch-and-Fix algorithm, an exact method that embeds the problem in a stochastic process. To measure the efficiency of the proposed algorithm, we compare it with a multi-objective genetic algorithm in graphs of a different number of vertices and density. The results show that the density of the graphs is critical when solving the problem. The multi-objective genetic algorithm performs better (quality of the Pareto sets) than the proposed approach in random graphs with high density; however, in these graphs it is easier to find Hamiltonian cycles, and they are closer to the multi-objective traveling salesman problem. The results reveal that, in a challenging benchmark of Hamiltonian graphs with low density, the proposed approach significantly outperforms the multi-objective genetic algorithm.

  • 154.
    Murua, Maialen
    et al.
    TECNALIA, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
    Suárez, Alfredo
    TECNALIA, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. TECNALIA, Basque Research and Technology Alliance (BRTA), 50018 Zaragoza, Spain.
    Santana, Roberto
    Computer Science and Artificial Intelligence Department, University of the Basque Country (UPV/EHU), 20018 Donostia-San Sebastián, Spain.
    Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation2020In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 91574-91585Article in journal (Refereed)
    Abstract [en]

    The tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, so the selection of optimal tool-paths is critical. This research analyzes the tool-path problem in the direct energy deposition technology; it introduces the main processes, and analyzes the characteristics of tool-path problem. It explains the approaches applied in the literature to solve the problem; as these are mainly geometric approximations, they are far from optimal. Based on this analysis, this paper introduces a mathematical framework for direct energy deposition and a novel problem called sequence strategy generation. Finally, it solves the problem using a benchmark for several different parts. The results reveal that the approach can be applied to parts with different characteristics, and the solution to the sequence strategy problem can be used to generate tool-paths.

  • 155. Naeem, Hassan Bin
    et al.
    Mainali, Ganesh
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
    Johansson, Carl-Anders
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Fusion of operations, event-log and maintenance data: a case study for optimising availability of mining shovels2013In: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013, 2013, Vol. 1, p. 484-503Conference paper (Refereed)
    Abstract [en]

    The modern mining industry is highly mechanised and relies on massive, multimillion-dollar pieces of equipment to achieve production targets. In an increasingly challenging international economic climate, mining operations are reliant on economies of scale to remain competitive. To maximise revenue, it is imperative that at each stage of the mining process, equipment is operating optimally without preventable and unnecessary interruptions. As a result, the focus of all mining operations is to increase equipment uptime and utilisation.The data used for this investigation have been sourced from the Aitik mine, a large open pit copper mine in Northern Sweden. In the loading area, power shovels load trucks with blasted material for transport, either to the crushers or to the waste dumps. The Aitik mine employs various computer-aided applications to track and maintain mobile mining equipment like the shovels. These applications also serve as chronological operational and maintenance databases for the equipment. This paper’s study of six mining shovels is based on the analysis of three data types: historical maintenance data from CMMS Maximo, operational data from mine management system Cat® MineStar™, and event-log data from individual shovels.The results indicate that such a synthesis is viable. A regular time-lapse integration of the diverse data types displays potential and could prove helpful in achieving overall improvements in maintenance.

  • 156.
    Oliveira, Ruben
    et al.
    CEMUC® – University of Coimbra's Mechanical Engineering Research Center, University of Coimbra.
    Farinha, Torres
    CEMUC® – University of Coimbra's Mechanical Engineering Research Center, University of Coimbra.
    Singh, Sarbjeet
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    An augmented reality application to support maintenance – is it possible?2013In: MPMM 2013 (Maintenance Performance Measurement and Management), Lappeenranta, Finland, 2013, p. 260-271Conference paper (Refereed)
    Abstract [en]

    Augmented Reality (AR) is a trend technology with many applications for domestic consumers. On the past it was developed significant projects with the objective to introduceAR in industrial environments, but did those projects be succeeded?AR looks like to be a powerful technology, but can it be applied to industrial environments? And for the Maintenance sector in particular?This paper pretends to answer the above questions and explain how to overcome restrictions detected on previous projects by presenting some results from a project under development, (Oliveira et al., 2012).It will also be presented a Computer Maintenance Management Systems (CMMS) called SMIT (Farinha et al., 2008) and its innovations with the integration of modules like active 3D models for technical assets and an AR module.Machines are enabled to do more and more complex tasks and, consequently, their aintenance is becoming more complex too. This gain of complexity might need new tools to support maintenance interventions and also demands new methodologies to implement for the technicians training in order to perform a better apprenticeship aiming to minimize the cost of each maintenance intervention. AR can give a great contribute to enhance training conditionsand technicians capabilities.

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  • 157.
    Palo, Mikael
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Nordmark, Thomas
    Mining Technology R and D, LKAB Kiruna Mine.
    Asplund, Matthias
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Larsson, Dan
    Damill AB, Luleå.
    Condition monitoring at the wheel/rail interface for decision-making support2014In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 228, no 6, p. 705-715Article in journal (Refereed)
    Abstract [en]

    Many railway assets, such as wheels, suffer from increasing deterioration during operation. Good condition monitoring based on good decision-making techniques can lead to accurate assessment of the current health of the wheels. This, in turn, will improve safety, facilitate maintenance planning and scheduling, and reduce maintenance costs and down-time. In this paper, wheel/rail forces are selected as a parameter (feature) for the condition monitoring of wheel health. Once wheels are properly thresholded, determining their condition can help operators to define maintenance limits for their rolling stock. In addition, if rail forces are used as condition indicators of wheel wear, it is possible to use measurement stations that cost less than ordinary profile stations. These stations are located on ordinary tracks and can provide the condition of wheelsets without causing shutdowns or slowdowns of the railway system and without interfering with railway traffic. The paper uses the iron-ore transport line in northern Sweden as a test scenario to validate the use of wheel/rail forces as indicators of wagon and wheel health. The iron-ore transport line has several monitoring systems, but in this paper only two of these systems will be used. Wheel/rail force measurements are performed on curves to see how the vehicle negotiates the curve, and wheel profile measurements are done on tangent track not far away. The vehicles investigated are iron-ore wagons with an axle load of 30 tonnes and a loaded top speed of 60 km/h. The measurements are non-intrusive, since trains are moving and assets are not damaged during the testing process

  • 158.
    Palo, Mikael
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Nordmark, Thomas
    LKAB.
    Asplund, Matthias
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Larsson, Dan
    Damill AB.
    Wheel/rail condition monitoring to support rolling stock maintenance actions2013In: Proceedings of 10th International Heavy Haul Association Conference, 2013Conference paper (Refereed)
    Abstract [en]

    Wheel/rail guidance is made possible by the shapes of wheel and rail profiles. For train operators to increase revenue and decrease cost for railway infrastructure owners they must monitor the conditions of the assets.The Iron Ore Line in northern Sweden has two different monitoring systems installed to monitor con- ditions of all passing vehicles. The wheel/rail force measurement are made in a curve to see the how the vehicle negotiate the curve, and the wheel profile measurements are done on tangent track not far away. The vehicles investigated are iron ore wagons from LKAB mining company with an axle load of 30 tonnes and a loaded top speed of 60 km/h.This study uses the condition from either wheel wear or wheel/rail forces as decision-making support for maintenance actions. A correlation between forces and wheel wear will make it possible to use this kind of force measurement stations at more places than just profile stations. This correlation will help to obtain maintenance limits for the operators to use on their rolling stock.

  • 159.
    Palo, Mikael
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Schunnesson, Håkan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Larsson-Kråik, Per-Olof
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Rolling stock condition monitoring using wheel/rail forces2012In: Insight: Non-Destructive Testing & Condition Monitoring, ISSN 1354-2575, E-ISSN 1754-4904, Vol. 54, no 8, p. 451-455Article in journal (Refereed)
    Abstract [en]

    Railway vehicles are efficient because of the low resistance in the contact zone between wheel and rail. In order to remain efficient, train operators and infrastructure owners need to keep rails, wheels and vehicles in an acceptable condition. Wheel wear affects the dynamic characteristics of vehicles and the dynamic force impact on the rail. The shape of the wheel profile affects the performance of railway vehicles in different ways. Wheel condition has historically been managed by identifying and removing wheels from service when they exceed an impact threshold. Condition monitoring of railway vehicles is mainly performed using wheel impact load detectors and truck performance detectors. These systems use either forces or stress on the rail to interpret the condition. This paper will show measurements taken at the research station outside Luleå in northern Sweden. The station measures the wheel/rail forces, both lateral and vertical, at the point of contact in a curve with a 484 m radius at speeds of up to 100 km/h. Data are analysed to show differences for various wheel positions and to determine the robustness of the system.

  • 160.
    Papic, Ljubisa
    et al.
    University of Kragujevac.
    Kovacevic, Srdja
    University of Kragujevac.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Thaduri, Adithya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Investigation of Causes of Mining Machines Maintenance Problems2016In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 283-299Conference paper (Refereed)
    Abstract [en]

    Human errors in the area of mining engineering are of critical issue that has serious concerns in safety, operation and production performance. There is a need for finding cause and effect relations with respect to the maintenance issues in order to detect, scrutinize and take necessary actions to reduce it. This paper deals with the human errors in the mining machines for the maintenance problems using fishbone cause and effect analysis. The investigation of these causes and effects are carried out during different operating conditions in typical mining industry and potential problems are assessed. There are several recommendations are provided to reduce the effect of human error so as to increase production by careful consideration of maintenance activities. .

  • 161.
    Papic, Ljubisa
    et al.
    University of Kragujevac.
    Kovacevic, Srdja
    University of Kragujevac.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Thaduri, Adithya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Safety Analysis of Mining Machines Specific Maintenance Operations2016In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 485-496Conference paper (Refereed)
    Abstract [en]

    By the rule, the object of the safety analysis is the technical system, for example, production or transportation, as the mining machines or their technological equipment are. The maintenance operations, up to present days, haven’t been investigated as the subject of safety analysis. However, as the practice of the technical systems maintenance shows so far many maintenance operations contain causes of danger. It means that it is useful to analyze such operations from the safety standpoint. From the standpoint of the mining machines safety, it should be stressed that in some researches, the expression “specific” is used for the critical maintenance operations. Therefore, the safety analysis of maintenance operations should precede the stage of maintenance operations. The possible approaches to the safety analysis in the area of maintenance on the basis of the method Failure Modes, Effects and Criticality Analysis are presented in the paper

  • 162.
    Parida, Aditya
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Achieving sustainable development through maintenance excellence2012In: Journal of Applied Engineering Science, ISSN 1451-4117, Vol. 10, no 2, p. 79-84Article in journal (Refereed)
    Abstract [en]

    Sustainability has been broadly defined as providing goods and services for current and future generations. Industries play a main role in that definition so more and more industries are working today to achieve sustainable development for their industry. Achieving a sustainable development needs strategic and continuous efforts involving the entire organization, where maintenance efforts play an important role. The management needs to understand and develop an appropriate strategic approach to understand the challenges involved and preparing all involved groups and personnel to achieve the sustainable development through application of maintenance performance measurement. Maintenance performance needs to be measured for managing and achieving the business objectives with a sustainable development goal. Maintenance plays a vital role in managing safety, energy saving, plant and machineries failure and productivity amongst others. To manage these activities, appropriate policy and planning is required to be developed enveloping the entire organization and necessary performance indicators are required to be identified to meet the unique requirements of the organization. In this paper, the authors have tried to discuss the issues and challenges associated with sustainable development with reference to maintenance performance measurement to achieve maintenance excellence.

  • 163.
    Parida, Aditya
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Berges, L.
    University of Zaragoza.
    Decision support systems in maintenance: Fusion of business data and physical data2011In: The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies: St. David's Hotel, Cardiff, Wales, 20 - 22 June 2011 ; CM2011/MFPT2011, Longborough, Glos: Coxmoor Publishing Co. , 2011, p. 227-239Conference paper (Refereed)
    Abstract [en]

    Maintenance optimization is critical for enhancing the effectiveness of asset management system. Maintenance effectiveness depends on the quality, timeliness, accuracy and completeness of information related to machine degradation state, based on which decisions are made. With emergence of intelligent sensors to measure and monitor the health state of the component and gradual implementation of information and communication technologies (lCT) in organizations conceptualization and implementation of e-maintenance is turning into a reality. While e-maintenance shows a lot of promise, seamless integration of ICT into the industrial environment remains a challenge. Computer Maintenance Management Systems (CMMS) are the core of traditional maintenance record-keeping practices and often facilitate the usage of textual descriptions of faults and actions performed on a vehicle. Recently developed Condition Monitoring Systems (CM) are capable of directly monitoring asset components parameters; however, attempts to link observed CMMS events to CM sensor measurements have been fairly limited in their approach and scalability. In this article, we present our approach for addressing this predicament. We argue that understanding the requirements and constraints in conjunction - from maintenance and ICT perspectives - is necessary. We identify the issues that need be addressed for achieving successful e-maintenance providing a new theoretical process for integrating the two disparate data types

  • 164.
    Parida, Aditya
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Berges, Luis
    University of Zaragoza.
    Decision support systems in maintenance: fusion of business data and physical data2012In: Condition Monitor, ISSN 0268-8050, no 299, p. 7-12Article in journal (Other academic)
    Abstract [en]

    Maintenance optimization is critical for enhancing the effectiveness of asset management system. Maintenance effectiveness depends on the quality,timeliness, accuracy and completeness of information related to machinedegradation state, based on which decisions are made. With emergenceof intelligent sensors to measure and monitor the health state of the component and gradual implementation of information and communication technologies (lCT) in organizations conceptualization and implementation of e-maintenance is turning into a reality. While e-maintenance shows a lot of promise, seamless integration of ICT into the industrial environment remains a challenge. Computer Maintenance Management Systems (CMMS) are the core of traditional maintenance record-keeping practices and often facilitate the usage of textual descriptions of faults and actions performed on a vehicle. Recently developed Condition Monitoring Systems (CM) are capable of directly monitoring asset componentsparameters; however, attempts to link observed CMMS events to CM sensormeasurements have been fairly limited in their approach and scalability.In this article, we present our approach for addressing this predicament.We argue that understanding the requirements and constraints in conjunction- from maintenance and ICT perspectives - is necessary. We identifythe issues that need be addressed for achieving successful e-maintenanceproviding a new theoretical process for integrating the two disparatedata types.

  • 165.
    Parida, Aditya
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Schunnesson, Håkan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
    Overall factory average spectrum: global vibration index for diagnosis and prognosis of large sets of rotating machinerry2011In: Diagnostyka, ISSN 1641-6414, Vol. 58, no 2, p. 39-47Article in journal (Refereed)
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  • 166.
    Parida, Aditya
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Stenström, Christer
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Performance measurement and management for maintenance: A literature review2015In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 21, no 1, p. 2-33Article in journal (Refereed)
    Abstract [en]

    Purpose:The purpose of this paper is to provide a literature review of the performance measurement in maintenance. The authors aim to discuss the background and development of the performance measurement for maintenance, besides defining the concept of performance measures for maintenance and the frameworks developed.Design/methodology/approach:A detailed and extensive literature search and study was undertaken by the authors on the concept and definition of performance measurement, performance indicators, maintenance performance indicators and various performance frameworks. The history and theory of performance measurement over different phases of business and technological developments have been critically examined and analysed in this review paper. Findings:This paper reviews and presents the different performance indicators (PIs) and performance measurement (PM) frameworks like; balanced scorecard, performance prism, performance pyramid and performance matrix etc, and identifies their characteristics and shortcomings. After considering related issues and challenges, frameworks and approaches for the maintenance performance measurement (MPM) are also presented, where the emerging techniques like; e-maintenance have also been discussed amongst others. More and more industries are applying the balanced and integrated MPM frameworks for their competitive survivability and sustainability.Practical implications:The concept, issues and approaches considered for the MPM frameworks can be adapted by the practicing managers, while trying to define and develop an MPM framework for the operation and maintenance activities. The considerations of the advantages and limitations of different frameworks can provide insights to the managers for implementation. Originality/value:Some literature reviews on MPM and MPM frameworks are available today. This paper makes an attempt to provide a detailed and relevant literature review, besides adding value in this new and emerging area.

  • 167.
    Perales, Numan
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Inspection and analysis of the functioning of the bearings used on railways: A study of the life of a bearing under real operating conditions2014Report (Other academic)
    Abstract [en]

    The objective of the present work is to carry out an analysis of the performance and life of bearings used in railways transporting ore. The project determined the nominal life (L10) for a single type of bearing commonly used in railways (SKF CTBU Class K and Timken AP-2TM). To do so, it considered two methodologies. Methodology I is an alternative approach proposed by a few authors in Brazil, inspired by a procedure used to design rail shafts. Methodology II is based on well-established techniques proposed by the bearing manufacturers (as SKF and Timken).After of have estimated L10, is determined the bearing lifetime (L) using two correction parameters (one based on reliability (a1 ) and the other based on the working conditions of the bearing (aISO). This in order to determine whether it was being replaced at the appropriate time, to improve its replacement periods, decrease maintenance costs, make the most of the life of the bearing and detect possible causes of faults it may present at any given time.In addition, it discusses some Condition Monitoring Techniques that can help identify anomalies, faults and breakdowns in these bearings. It touches on the phenomenon of electric current through wheel bearings, the way to identify, detect and prevent it, and some measurement techniques. Finally, it explains in detail the bearings process reconditioning (mounting, dismounting and reconditioning) that accomplished some companies in order to maximize the life of these.

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  • 168.
    Perales, Numan
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hernandez, Angel
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Villarejo, Roberto
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    A comparison of techniques to determine the nominal life (L10) on railway bearings2014Conference paper (Refereed)
    Abstract [en]

    Bearings are one of the most important components in a railway vehicle for safety, since a failsafe design is not available. Contact fatigue, internal clearance, corrosion, and contamination of the lubricating oil can cause bearing failures. Generally, failures show up as imperfections in the ball race, in the ball/roller or in the retainer. The more frequent defects are caused by contact fatigue [1]. The analytical methodology (Methodology I) is an alternative approach proposed by the authors [1], inspired by a procedure used to design rail shafts [2]. The purpose is to compare the obtained life using methodology I, with the life estimated by LKAB company. The latter uses a calculation method well-established in manuals of bearing manufacturers such as SKF and Timken. This is to avoid a drawback observed in this type of approach, namely, the lack of rigour in defining terms associated with the mathematical model used to estimate L10. The research goal is to perform an inspection and analysis of the functioning of the bearings most commonly used on railways in order to estimate the bearings' life under real operating conditions.

  • 169.
    Pinto, Constâncio António
    et al.
    CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal; Department of Mechanical Engineering, Universidade Nacional de Timor-Leste, Av. Cidade de Lisboa, Díli, Timor-Leste.
    Farinha, José Torres
    CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal; Instituto Superior de Engenharia de Coimbra/Instituto Politécnico de Coimbra (ISEC/IPC), Department of Mechanical Engineering, 3030-199 Coimbra, Portugal.
    Raposo, Hugo
    CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal; Instituto Superior de Engenharia de Coimbra/Instituto Politécnico de Coimbra (ISEC/IPC), Department of Mechanical Engineering, 3030-199 Coimbra, Portugal.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Stochastic versus Fuzzy Models-A Discussion Centered on the Reliability of an Electrical Power Supply System in a Large European Hospital2022In: Energies, E-ISSN 1996-1073, Vol. 15, no 3, article id 1024Article in journal (Refereed)
    Abstract [en]

    This paper discusses the Reliability, Availability, Maintainability, and Safety (RAMS) of an electrical power supply system in a large European hospital. The primary approach is based on fuzzy logic and Petri nets, using the CPNTools software to simulate and determine the most important modules of the system according to the Automatic Transfer Switch. Fuzzy Inference System is used to analyze and assess the reliability value. The stochastic versus fuzzy approach is also used to evaluate the reliability contribution of each system module. This case study aims to identify and analyze possible system failures and propose new solutions to improve the system reliability of the power supply system. The dynamic modeling is based on block diagrams and Petri nets and is evaluated via Markov chains, including a stochastic approach linked to the previous analysis. This holistic approach adds value to this type of research question. A new electrical power supply system design is proposed to increase the system’s reliability based on the results achieved.

  • 170.
    Prado, Augustin
    et al.
    GORATU M-H.
    Alzaga, Aitor
    IK4-TEKNIKER.
    Konde, Egoitz
    IK4-TEKNIKER.
    Medina-Oliva, Gabriela
    PREDICT.
    Monnin, Maxime
    PREDICT.
    Johansson, Carl-Anders
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Euhus, Dirk
    ARTIS.
    Burrows, Mike
    MONITION.
    Yurre, Carlos
    FAGOR AOTEK.
    Health and Performances Machine Tool Monitoring Architecture2014In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten, Luleå: Luleå tekniska universitet, 2014, p. 139-144Conference paper (Refereed)
    Abstract [en]

    In order to face the high market competiveness, the Power-OMproject (http://power-om.eu/) aims at implementing a proactiveapproach for improving the machine tool performances. Forimplementing a proactive approach that helps monitoring machinetool performances, this paper presents a technical architecturewith two levels: the local and the remote one. In the local level,condition based maintenance strategy is implemented and realtime data is used for monitoring the local health of a machine. Afirst originality is to use the current analysis for assessing thehealth status of the machine. In the remote level, offline data isstored in an eMaintenance platform, which allows providing afleet dimension. This dimension allows to benefit of more dataand information allowing to make performances comparisonacross the fleet and along the time.This paper presents the advantages of the added-valuearchitecture. On one hand, there is the possibility to trackperformances to detect drifts locally and real-time based on thecurrent analysis, and on the other hand, to follow-up short andmid-term performances for deeper analysis of the fleetperformances in order to bring relevant information for decisionmakers.

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  • 171.
    Raposo, Hugo David Nogueira
    et al.
    Centre for Mechanical Engineering, University of Coimbra, Portugal.
    Farinha, José Manuel Torres
    Centre for Mechanical Engineering, University of Coimbra, Portugal.
    Ferreira, Luís Andrade
    Dept of Mechanical Engineering, Faculty Engineering University Porto, Portugal.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reserve Fleet Indexed To Exogenous Cost Variables2019In: Transport, ISSN 1648-4142, E-ISSN 1648-3480, Vol. 34, no 4, p. 437-454Article in journal (Refereed)
    Abstract [en]

    Identifying the optimal time to replace a passenger bus in a buses fleet has implications on the size of the reserve fleet. Such calculations rest on endogenous and exogenous economic variables: the former include operating and maintenance costs and bus depreciation; the latter include market imponderables such as the inflation and real discount rates, as well as energy costs, particularly fuel. The authors have created models for the withdrawal/replacement of buses using endogenous economic variables. The models include standard econometric models reflecting the influence of maintenance policies, especially Condition Monitoring (CM) or predictive maintenance, and the size of the reserve fleet. The paper deals with exogenous economic variables, specifically the influence of the cost of money, the inflation and real discount rates rate and the cost of fuel. Both variables fluctuate over time. The paper proposes analytical models for determining the influence of those variables on the withdrawal time and the size of the reserve fleet. It then comprehensively summarizes the variables in a global model, showing its relevance to the dimensioning of the reserve fleet and the withdrawal time.

  • 172.
    Raposo, Hugo
    et al.
    CEMMPRE - Centre for Mechanical Engineering, Materials and Processes, University of Coimbra.
    Farinha, José Torres
    CEMMPRE - Centre for Mechanical Engineering, Materials and Processes, University of Coimbra.
    Ferreira, Luis A.
    UP – University of Porto.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance2017In: Eksploatacja i Niezawodność – Maintenance and Reliability, ISSN 1507-2711, E-ISSN 2956-3860, Vol. 19, no 3, p. 358-368Article in journal (Refereed)
    Abstract [en]

    Maintenance policies influence equipment availability and, thus, they affect a company’s capacity for productivity and competitiveness. It is important to optimize the Life Cycle Cost (LCC) of assets, in this case, passenger bus fleets. The paper presents a predictive condition monitoring maintenance approach based on engine oil analysis, to assess the potential impact of this variable on the availability of buses. The approach has implications on maintenance costs during the life of a bus and, consequently, on the determination of the best time for bus replacement. The paper provides an overview of economic replacement models through a global model, with an emphasis on availability and its dependence on maintenance and maintenance costs. These factors help to determine the size of the reserve fleet and guarantee availability

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  • 173.
    Raposo, Hugo
    et al.
    CEMMPRE, Coimbra, Portugal.
    Torres Farinha, José
    CEMMPRE, Coimbra, Portugal.
    Ferreira, Luís
    FEUP, Porto, Portugal.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study2018In: Public Transport, ISSN 1866-749X, E-ISSN 1613-7159, Vol. 10, no 1, p. 169-190Article in journal (Refereed)
    Abstract [en]

    The paper demonstrates the dependence of a fleet reserve of buses on the maintenance policy of the whole fleet, in particular, condition-based maintenance using a motor oil degradation analysis. The paper discusses an approach to evaluate the oil degradation and the prediction of the next value for one relevant oil variable. The methodology to evaluate the reserve fleet is based on bus availability, estimated through the mean time between failures and the mean time to repair ratios. Through the use of econometric models, it is possible to determine the most rational size of the reserve fleet.

  • 174.
    Raposo, Hugo
    et al.
    Coimbra University-UC, Department of Mechanical Engineering, Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Coimbra, Portugal.
    Torres Farinha, José
    Coimbra University-UC, Department of Mechanical Engineering, Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Coimbra, Portugal.
    Fonseca, Inácio
    Coimbra University-UC, Department of Mechanical Engineering, Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Coimbra, Portugal.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Predicting condition based on oil analysis: A case study2019In: Tribology International, ISSN 0301-679X, E-ISSN 1879-2464, Vol. 135, p. 65-74Article in journal (Refereed)
    Abstract [en]

    The paper presents and discusses a model for condition monitoring. Using data from the oil in the Diesel engines of a fleet of urban buses, it studies the evolution of degradation and develops a predictive maintenance policy for oil replacement. Based on the analysis of the oil condition, the intervals of oil replacement can be expanded, allowing increased availability. The paper links time series forecasting with the statistical behavior of some oil effluents, like soot. This exercise can be expanded to include other variables, and the model has the potential to be applied to other physical assets to achieve the best availability based on a condition monitoring policy.

  • 175.
    Raposo, Hugo
    et al.
    CEMMPRE - Centre for Mechanical Engineering, Materials and Processes, Coimbra, Portugal. ISEC - Instituto Superior de Engenharia de Coimbra, Portugal. ULHT - Universidade Lusófona de Humanidades e Tecnologias, Portugal.
    Torres Farinha, José
    CEMMPRE - Centre for Mechanical Engineering, Materials and Processes, Coimbra, Portugal. ISEC - Instituto Superior de Engenharia de Coimbra, Portugal.
    Pais, E.
    ULHT - Universidade Lusófona de Humanidades e Tecnologias, Portugal. CISE - Electromechatronic Systems Research Centre, University Beira Interior, Covilhã, Portugal.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    An Integrated Model for Dimensioning the Reserve Fleet based on the Maintenance Policy2021In: WSEAS transactions on systems and control, ISSN 1991-8763, E-ISSN 2224-2856, Vol. 16, p. 43-65, article id 3Article in journal (Refereed)
    Abstract [en]

    Usually, the Reserve Fleet, or Spare Fleet, of passenger urban buses, is based on indicators used in some international relevant companies and extrapolated for many others, almost as a dogma. However, it must be taken into consideration pragmatic variables intrinsic to the buses namely their maintenance and in a more pragmatic approach, indexing their availability and by consequence the reserve fleet indexed to the maintenance policy used in each company.

    The paper discusses these subjects and presents a global model that integrates the maintenance planning policy, based on a condition monitoring model, maintenance Key Maintenance Indicators (KPI), and an economic life cycle model.

    The paper presents some results based both in theoretical considerations and also in real data from an urban fleet of a European Country. 

  • 176.
    Rodrigues, Francisco
    et al.
    Instituto Superior de Engenharia de Coimbra Centre for Mechanical Engineering of the University of Coimbra Rua Antero de Quental 195, 3000-033 Coimbra, Portugal.
    Fonseca, Inácio
    Instituto Superior de Engenharia de Coimbra Centre for Mechanical Engineering of the University of Coimbra Rua Antero de Quental 195, 3000-033 Coimbra, Portugal.
    Farinha, José Torres
    Instituto Superior de Engenharia de Coimbra Centre for Mechanical Engineering of the University of Coimbra Rua Antero de Quental 195, 3000-033 Coimbra, Portugal.
    Ferreira, Luis
    Faculdade de Engenharia da Universidade do Porto Praça de Gomes Teixeira, 4099-002 Porto, Portugal.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Electric Motors Maintenance Planning From Its Operating Variables2017In: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, no 3, p. 205-216Article in journal (Refereed)
    Abstract [en]

    The maintenance planning corresponds to an approach that seeks to maximize the availability of equipment and, consequently, increase the levels of competitiveness of companies by increasing production times. This paper presents a maintenance planning based on operating variables (number of hours worked, duty cycles, number of revolutions) to maximizing the availability of operation of electrical motors. The reading of the operating variables and its sampling is done based on predetermined sampling cycles and subsequently is made the data analysis through time series algorithms aiming to launch work orders before reaching the variables limit values. This approach is supported by tools and technologies such as logical applications that enable a graphical user interface for access to relevant information about their Physical Asset HMI (Human Machine Interface), including the control and supervision by acquisition through SCADA (Supervisory Control And data acquisition) data, also including the communication protocols among different logical applications.

  • 177.
    Rodriguez, Emilio
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Karki, Nava Raj
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Valderas, Daniel
    CIET and Tecnum, University of Navarra, 20018 San Sebastián, Spain.
    Niska, Stefan
    Trafikverket, Luleå, Norrbotten, Sweden.
    Fault detection of Railway EMC problems using MATLAB models2013In: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013 (CM 2013 AND MFPT 2013), British Institute of Non-Destructive Testing (BINDT) , 2013, Vol. 2, p. 774-783Conference paper (Refereed)
  • 178.
    Rodriguez, Emilio
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Simon, Victor
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Berges, Luis
    Department Design engineering and manufacturing, University of Zaragoza, Spain.
    Tamarit, Jaime
    CEDEX, Centro de estudios y experimentación de obras públicas, Spain.
    El impacto de la complejidad de la electrónica en la seguridad del sistema ferroviario2014In: Mantenimiento, ISSN 0214-4344, no 280, p. 17-23Article in journal (Refereed)
    Abstract [es]

    La complejidad del sistema ferroviario aumenta cuando se utiliza más electrónica. Cuando se introducen nuevos trenes equipados con componentes electrónicos importantes en una infraestructura ferroviaria que no ha sido renovada en los últimos años, como la sueca, puede surgir uno de los problemas más relevantes de ferrocarril: el sistema de parada de emergencia activa los frenos del material rodante, causando largos retrasos con efectos en cascada. La causa es que el TCC (centro de control de trenes) puede detectar señales inesperadas debido a los campos electromagnéticos transitorios que puedan interferir en los circuitos de señalización y control.

  • 179.
    Rodriguez, Emilio
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Simon, Victor
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Niska, Stefan
    Trafikverket, Swedish Transport Administration, EMC group, Sundsbacken 2-4, 97242, Luleå, Sweden.
    Safety Issues of Track Circuits – A Hybrid Approach2014In: Communications in Dependability and Quality Management, ISSN 1450-7196, Vol. 17, no 2, p. 15-26, article id 209636620Article in journal (Refereed)
    Abstract [en]

    The study of railway electromagnetic interference (EMI) seeks to determine the source of the interference or to ensure the correct operation of the equipment within adverse conditions. The complexity of railway system increases when more electronics are used. However a simple DC track circuit is still used in train detection systems in many countries, including Sweden, our case study. Most of the failures reported in the Swedish railway infrastructure are related to the detection system, making this research of interest to the railway community. By searching the Swedish failures report database, 0FELIA, for the most repetitive and probable causes of failures, they were identified three worst case scenarios: low resistance between the rails, external interference as a lightning and iron-powder-bridges in the insulated joint. They were simulated using the software CST STUDIO SUITE® (Computer Simulation Technology Studio Suite), supported by real measurements on site. Measurements followed the current EMC standards and were used to tune and validate the models, resulting in simulations very close to the real measures.

  • 180.
    Saari, Juhamatti
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Mishra, Madhav
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Johansson, Carl-Anders
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Applied methods of condition monitoring and fault detection for underground mobile machines2013Conference paper (Refereed)
    Abstract [en]

    Condition monitoring is a health assessment technique worldwide accepted and very popular in many industries especially where there are rotating machines involved in the processes. These techniques may be relevant in environments where the prediction of a failure and the prevention and mitigation of its consequences increase the profit and safety of the facilities. The maintenance of underground mobile mining equipment is one of these scenarios. It has several problem areas: harsh environment, potential risks and distant location of workshops. When a machine breaks down, there are two ways to handle the repair. Either the equipment has to be repaired on site at the production area or taken to the workshop. The difficulties involved in moving this type of large equipment are substantial but it might be difficult or unsafe to repair the LHD on site (depending on where and why it fails). Therefore it is necessary to identify the critical components and monitor them properly in order to skip undesired shutdowns or stoppages. This paper describes the benefits of different CM techniques applied to a critical part of a LHD machine (the transmission) in order to detect the abnormal behavior if any, identify the fault and predict the degradation. These techniques will provide enough information to optimize the maintenance actions minimizing and mitigating the costly effects of unplanned actions.

  • 181.
    Santelices, Gabriel
    et al.
    Department of Mining Engineering, Pontificia Universidad Católica de Chile, Santiago.
    Pascual, Rodrigo
    Pontificia Universidad Católica de Chile, Department of Mining Engineering, Pontificia Universidad Católica de Chile, Santiago.
    Lüer-Villagra, Armin
    Department of Engineering Sciences, Universidad Andres Bello, Santiago.
    Cawley, Alejandro Mac
    Department of Industrial Engineering, Pontificia Universidad Católica de Chile, Santiago.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Integrating mining loading and hauling equipment selection and replacement decisions using stochastic linear programming2017In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 31, no 1, p. 52-65Article in journal (Refereed)
    Abstract [en]

    Equipment selection is a key strategic decision in the design of a material handling system, because an improper one will lead to operational problems and unnecessary investment costs. It involves determining the number and combination of loaders and trucks which will move the material, fulfilling a specified production schedule. Previous works have addressed this problem with deterministic approaches, without considering the inter-dependent availability of trucks and loaders. In order to fill this gap, we developed a stochastic model that combines the selection and equipment replacement problems, subject to a stochastic production rate constraint. This is a new idea that will help decision-makers to decide faster and more reliable. The proposed model optimises the fleet by minimising the total life cycle costs. To solve it, we used a linearisation approach that reduces the computational effort. We tested our approach with a benchmark model, using a mining case study. Results indicate that the solutions ensure with a high probability a determined production target, producing good robust solutions compared to the deterministic counterpart.

  • 182.
    Schmidt, Bernard
    et al.
    University of Skövde.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Wang, Lihui
    University of Skövde.
    Context Awareness in Predictive Maintenance2016In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 197-211Conference paper (Refereed)
    Abstract [en]

    Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance approach utilizes the condition monitoring (CM) data to predict the future machine conditions and makes decisions upon this prediction. Recent development in CM leads to context aware approach where in parallel with CM measurements also data and information related to the context are gathered. Context could be operational condition, history of machine usage and performed maintenance actions. In general more obtained information gives better accuracy of prediction. It is important to track operational context in dynamically changing environment. Today in manufacturing we can observe shift from mass production to mass customisation. This leads to changes from long series of identical products to short series of different variants. Therefore implies changing operational conditions for manufacturing equipment. Moreover, where asset consist of multiple identical or similar equipment the context aware method can be used to combine in reliable way information. This should allow to increase accuracy of prediction for population as a whole as well as for each equipment instances. Same of those data have been already recorded and stored in industrial IT systems. However, it is distributed over different IT systems that are used by different functional units (e.g. maintenance department, production department, quality department, tooling department etc.). This paper is a conceptual paper based on initial research work and investigation in two manufacturing companies from automotive industry.

  • 183.
    Schmidt, Bernard
    et al.
    Högskolan i Skövde.
    Gandhi, Kanika
    Högskolan i Skövde.
    Wang, Lihui
    bSchool of Engineering Science, Kungliga Tekniska Högskolan, Stockholm.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Context preparation for predictive analytics: a case from manufacturing industry2017In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, no 3, p. 341-354Article in journal (Refereed)
    Abstract [en]

    Purpose

    The purpose of this paper is to exemplify and discuss the context aspect for predictive analytics where in parallel condition monitoring measurements data and information related to the context are gathered and analysed.

    Design/methodology/approach

    This paper is based on an industrial case study, conducted in a manufacturing company. The linear axis of a machine tool has been selected as an object of interest. Available data from different sources have been gathered and a new condition monitoring function has been implemented. Details about performed steps of data acquisition and selection are provided. Among the obtained data, health indicators and context related information have been identified.

    Findings

    Multiple sources of relevant contextual information has been identified. Performed analysis discovered the deviations in operational conditions when the same machining operation is repeatedly performed.

    Originality/value

    This paper shows the outcomes from a case study in real word industrial setup. A new visualisation method of gathered data is proposed to support decision-making process

  • 184.
    Seneviratne, D.
    et al.
    Tecnalia Research and Innovation, Industry and Transport Division, Miñano (Araba), Spain.
    Ciani, L.
    Department of Information Engineering, University of Florence, Florence, Italy.
    Catelani, M.
    Department of Information Engineering, University of Florence, Florence, Italy.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Tecnalia Research and Innovation, Industry and Transport Division, Miñano (Araba), Spain.
    Smart maintenance and inspection of linear assets: An Industry 4.0 approach2018In: Acta IMEKO, ISSN 0237-028X, Vol. 7, no 1, p. 50-56Article in journal (Refereed)
    Abstract [en]

    Linear assets have linear properties, for instance, similar underlying geometry and characteristics, over a distance. They show specific patterns of continuous inherent deteriorations and failures. Therefore, remedial inspection and maintenance actions will be similar along the length of a linear asset, but because as the asset is distributed over a large area, the execution costs are greater. Autonomous robots, for instance, unmanned aerial vehicles, pipe inspection gauges, and remotely operated vehicles, are used in different industrial settings in an ad-hoc manner for inspection and maintenance. Autonomous robots can be programmed for repetitive and specific tasks; this is useful for the inspection and maintenance of linear assets. This paper reviews the challenges of maintaining the linear assets, focusing on inspections. It also provides a conceptual framework for the use of autonomous inspection and maintenance practices for linear assets to reduce maintenance costs, human involvement, etc., whilst improving the availability of linear assets by effective use of autonomous robots and data from different sources.

  • 185.
    Seneviratne, Dammika
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Boyang, Shi
    Tecnalia Research and Innovation, Industry and Transport Division, San-Sebastian.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Autonomous inspection and maintenance of linear assets2017In: 15th IMEKO TC10 Workshop on Technical Diagnostics 2017: "Technical Diagnostics in Cyber-Physical Era", 2017, p. 194-199Conference paper (Refereed)
    Abstract [en]

    Linear assets have linear properties, for instance, similar underlying geometry and characteristics over a distance. They show specific patterns of continuous inherent deteriorations and failures. Therefore, remedial inspection and maintenance actions will be similar along the length of a linear asset, but because it is distributed over a large area, the execution costs are greater. Autonomous robots can be programmed for repetitive and specific tasks. Unmanned aerial vehicles and remotely operated vehicles are currently used in different industrial settings in ad-hoc manner for inspection and maintenance purposes. This manuscript provides a conceptual framework for the use of autonomous inspection and maintenance practices for linear assets to reduce maintenance costs, human involvement, etc., whilst improving the availability of linear assets by effective utilization of autonomous robots and data from different sources

  • 186.
    Shao, Haidong
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China.
    Lin, Jing
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Zhang, Liangwei
    Department of Industrial Engineering, Dongguan University of Technology, Dongguan 523808, China.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. TECNALIA, Donostia-San, Sebastian 20009, Spain.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance2021In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 74, p. 65-76Article in journal (Refereed)
    Abstract [en]

    Collaborative fault diagnosis can be facilitated by multisensory fusion technologies, as these can give more reliable results with a more complete data set. Although deep learning approaches have been developed to overcome the problem of relying on subjective experience in conventional fault diagnosis, there are two remaining obstacles to collaborative efficiency: integration of multisensory data and fusion of maintenance strategies. To overcome these obstacles, we propose a novel two-part approach: a stacked wavelet auto-encoder structure with a Morlet wavelet function for multisensory data fusion and a flexible weighted assignment of fusion strategies. Taking a planetary gearbox as an example, we use noisy vibration signals from multisensors to test the diagnosis performance of the proposed approach. The results demonstrate that it can provide more accurate and reliable fault diagnosis results than other approaches.

  • 187.
    Simon, Victor
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Baglee, David
    Institute for Automotive Manufacturing and Advanced Practices, University of Sunderland, Department of Computing, Engineering and Technology, Institute for Automotive and Manufacturing Advanced Practise, University of Sunderland, School of Computing and Technology, University of Sunderland.
    Garfield, Sheila
    University of Sunderland.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    The Development of an Advanced Maintenance training programme utilizing Augmented Reality2014Conference paper (Refereed)
    Abstract [en]

    Maintenance engineering represents an area of great opportunity to reduce cost, improve productivity, and increase profitability for manufacturing companies. There are examples of best practice that can be classed as World Class Maintenance which deliver great benefits. Unfortunately very few companies, and especially small and medium sized companies, remotely approach this level. Research has shown that savings of around 10% are achievable by improving asset management techniques through adopting modern maintenance practices, tools, and techniques. One area that is often overlooked is the development of an appropriate training programme in which the skills and knowledge are retained and used to develop the skills of young apprentices or new staff using specific technologies. Augmented Reality (AR) has been identified as a technology offering a promising approach to training which combines a number of disciplines including engineering, computing, and psychology. Augmented Reality (AR) enables users to view, through the use of see-through displays, virtual objects superimposed dynamically, and merged seamlessly, with real world objects in a real environment via a range of devices such as Ipad or Tablet, so that the virtual objects and real world images appear to exist at the same time in the same place providing real-time interaction. Therefore, this approach expands the surrounding real world environment by superimposing computer-generated information. It presents the information more intuitively than legacy interfaces such as paper-based instruction manuals enabling the users to interact directly with the information and use their natural spatial processing ability.This paper will identify augmented reality tools and techniques with the potential to support efficient training systems for maintenance and assembly skills that accelerate the technicians’ acquisition of new maintenance procedures. A platform for multimodal Augmented Reality based training will be proposed which could allow small to medium sized companies to develop and implement appropriate maintenance tasks based upon cost effective and efficient training systems. Such systems would give technicians’ the opportunity for practical training, that is, the possibility to “learn by doing” in the workplace; provide information when and where needed, thus reducing the technicians’ information search time; and potentially reduce errors due to violations in procedure, misinterpretation of facts, or insufficient training.A detailed bibliography on these topics is also provided.

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  • 188.
    Simon, Victor
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Prognostic Hybrid Model From Data Fusion on Machine Tools2015In: Proceedings of the XXI IMEKO World Congress: Prague, Czech Republic, 2015, Prague: IMEKO , 2015Conference paper (Refereed)
    Abstract [en]

    This paper proposes an enhancement of RUL prediction method based on degradation trajectory tracking under the scope of machine tools. The operational condition data of the machine over time provides the potential degradation state at the next estimation iteration step, based on data-driven techniques. The model-based approach is considered as long-term prognostics method assuming that aphysical model describing the degradation behaviour is available. Fusing the aforementioned techniques outputs a hybrid model for RUL estimation

  • 189.
    Simon, Victor
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Johansson, Carl-Anders
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs2017In: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, no 3, p. 183-190Article in journal (Refereed)
    Abstract [en]

    All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine's future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

  • 190.
    Singh, Sarbjeet
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Baglee, David
    Institute for Automotive Manufacturing and Advanced Practices, University of Sunderland.
    Knowles, Michael
    Institute for Automotive Manufacturing and Advanced Practices, University of Sunderland.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Developing RCM strategy for wind turbines utilizing e-condition monitoring2015In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 6, no 2, p. 150-156Article in journal (Refereed)
    Abstract [en]

    Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs

  • 191.
    Singh, Sarbjeet
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Bending moment assessment at L5/S1 and parameter optimization using Taguchi design during lifting task2012In: Journal of Ergonomic Study, ISSN 2076-5517, Vol. 14, no 2, p. 79-89Article in journal (Refereed)
    Abstract [en]

    This paper reports on the investigation of the effect of lifting parameters on bending moment at the lower back. The experimental study has been conducted under varying load weights, horizontal location of load from L5/S1 and lifting technique (stoop, full squat and lifting device). The design of experiments approach using Taguchi’s orthogonal array was used. The level of importance of the parameters on bending moment has been determined using the analysis of variance (ANOVA). After implementing a lifting device 26-34 % reduction in bending moment at L5/S1 has been observed.

  • 192.
    Singh, Sarbjeet
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Baglee, David
    Department of Computing, Engineering and Technology, Institute for Automotive and Manufacturing Advanced Practise, University of Sunderland.
    Björling, Sten-Erik
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Self-maintenance techniques: a smart approach towards self-maintenance system2014In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 1, p. 75-83Article in journal (Refereed)
    Abstract [en]

    The modern systems operating at varying conditions brought a new paradigm shift to in-machine renovation and repair. These systems often encounter an infinite collection of clumsy diagnostic tools and applications that decrease agility, increase time-to-repair, and increase management overheads. One approach is to remove the human and potential costly and time consuming human errors, from the diagnosis of faults and implementation of a maintenance strategy. In order to achieve this it is necessary to develop systems that support advanced intelligent maintenance systems or smart maintenance technologies. Self-maintenance machines can be a better option with the capabilities of condition monitoring, diagnosing, repair planning and executing in order to extend the life and performance of equipment. The objective of this paper is to discuss the concept of self-maintenance, need of self-maintenance, potential scenarios where self-maintenance can be successfully implemented and issues related to self-maintenance machines. It has been concluded that the aim is to have self-maintenance system in order to make a machine capable of reconfiguration, compensation, and self-maintenance.

  • 193.
    Sinkkonen, Tiina
    et al.
    School of Industrial Engineering and Management, Lappeenranta University of Technology.
    Kivimäki, Harri
    Olvi PLC.
    Marttonen, Salla
    School of Industrial Engineering and Management, Lappeenranta University of Technology.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Villarejo, Roberto
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kärri, Timo
    School of Industrial Engineering and Management, Lappeenranta University of Technology.
    Using the life-cycle model with value thinking for managing an industrial maintenance network2016In: International Journal of Industrial and Systems Engineering, ISSN 1748-5037, Vol. 23, no 1, p. 19-35Article in journal (Refereed)
    Abstract [en]

    The objective of this article is to create a general life-cycle model for maintenance decision making in different industries at the item level. The need for network-level tools will increase, as inter-organisational collaboration is emphasised more and more. Previous life-cycle models have mostly viewed the matter from the perspective of just one company, but our model takes the different members of maintenance networks into account. We have also integrated value thinking with life-cycle accounting, as it is crucial for companies to perceive which elements increase the value of each member in their network. The value-based life-cycle model introduced in this article has been mainly developed to support the future planning of maintenance operations. In addition, it can be designed how additional value can be reached through future maintenance and how this value can be equitably shared between the network partners

  • 194.
    Stenström, Christer
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Famurewa, Stephen Mayowa
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Parida, Aditya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Impact of cold climate on failures in railway infrastructure2012Conference paper (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade due to greater energy costs and the need to reduce emissions. Ensuring the dependability and capacity of railway infrastructure requires efficient and effective maintenance which, in turn, requires good understanding of various physical behaviours, e.g. deterioration and environmental effects. This paper studies the effect of cold climate on railway infrastructure performance using statistics and historical work order data. It finds differences in the number of work orders as a function of season and geographical location.Keywords: railway, performance, temperature, winter, cold, climate, failures, infrastructure, snow, ice, maintenance, reliability, dependability

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  • 195.
    Stenström, Christer
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Parida, Aditya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Maintenance performance indicators for railway infrastructure management2012In: Proceedings of the First International Conference on Railway Technology: Research, Development and Maintenance / [ed] J. Pombo, Stirlingshire, UK: Civil-Comp Press , 2012Conference paper (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade and it is believed to increase further with the movement of transportation from road to rail, due to the increasing energy costs and the demand to reduce emissions. To manage the assets effectively within the business objectives, the effect of maintenance activities must be measured and monitored. Performance indicators are continuously identified and developed to support infrastructure managers in decision making, but they are often ad-hoc and seldom standardised. In this paper, about 130 maintenance performance indicators for railway infrastructures have been mapped and compared with indicators of European standard. The listed indicators form a basis for constructing a maintenance performance measurement system for railway infrastructures.

  • 196.
    Stenström, Christer
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Parida, Aditya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Performance indicators of railway infrastructure2012In: The international Journal of railway technology, ISSN 2049-5358, E-ISSN 2053-602X, Vol. 1, no 3, p. 1-18Article in journal (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade and it is believed to increase further with the movement of transportation from road to rail, due to the increasing energy costs and demand to reduce emissions. As a result of increasing need of railway capacity, more efficient and effective operation and maintenance is required. To manage the assets effectively within the business objectives, the results of operation and maintenance activities must be measured and monitored. Performance indicators are developed to support infrastructure managers in decision making, but they are often ad hoc and seldom standardised. In this paper, performance indicators for railway infrastructure, with primary focus on the railway track, have been mapped and compared with indicators of European Standards. The listed indicators can be applied to form a performance measurement system for railway infrastructure.

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  • 197.
    Stenström, Christer
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Parida, Aditya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Link and effect model for performance improvement of railway infrastructure2013In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 227, no 4, p. 392-402Article in journal (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade due to its fuel efficiency and the need to reduce emissions. The railway infrastructure performance needs to be measured to allow assets to be managed effectively against set objectives. Various systems are used to collect and store data on traffic, failures, inspections, track quality, etc. However, these systems are often used in an ad hoc manner, partly because of the weaknesses of traditional performance measurement systems. This paper proposes a link and effect model which is focused on the areas of continuous improvement, the key elements of strategic planning and on the underlying factors responsible for the railway performance. The model provides information on the performance of railway systems and components, and how they are linked to each other and to the overall objectives, thereby facilitating proactive decision-making. The model is applied in a case study on the Iron Ore Line, Sweden. The performance of a section of the line is studied in terms of failures, train delays and repair times, and ranked through a risk matrix and composite indicator.

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  • 198.
    Stenström, Christer
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Parida, Aditya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Maintenance value drivers, killers and their indicators2011In: MPMM 2011: Maintenance Performance Measurement & Management: Conference Proceedings / [ed] Diego Galar; Aditya Parida; Håkan Schunnesson; Uday Kumar, Luleå: Luleå tekniska universitet, 2011, p. 125-130Conference paper (Refereed)
    Abstract [en]

    Value driven maintenance (VDM) is a fairly new maintenance management method based on four maintenance value drivers and to calculate the discounted present value (DPV) of the maintenance strategy. However, the dependability of the engineering assets needs to be assessed in order to make an estimation of the DPV. Therefore, the European standard EN 15341 has been studied, in order to find the most essential indicators for the four value drivers and for estimation of the DPV. Terminology containing drivers and killers are common in the field of asset management, but definitions are scarce. One section in this paper is therefore dedicated to review these terms.

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  • 199.
    Stenström, Christer
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Parida, Aditya
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Performance indicators and terminology for value driven maintenance2013In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 19, no 3, p. 222-232Article in journal (Refereed)
    Abstract [en]

    Purpose – Value driven maintenance (VDM) is a fairly new maintenance management methodology based on four maintenance value drivers and the formula of net present value (NPV) to calculate the value of different maintenance strategies. However, the dependability of the engineering assets needs to be assessed in order to make an estimation of the NPV. Therefore, standardised indicators have been critically analysed to find the most essential indicators for the four value drivers and for estimation of the NPV. Terminology containing performance drivers and killers are common in the field of asset management, but not many publications can be found for their detailed descriptions. One section in this paper is therefore dedicated to review these terms. A comprehensive description and classification of performance killers and drivers, and of indicators for VDM are presented in this paper.Design/methodology/approach – Review of literature for technical terminology and review of standards for identification of indicators for maintenance performance measurement and NPV of maintenance.Findings – Common description of technical terminology as used by researchers and identification of the most important indicators for maintenance performance measurement and the NPV of maintenance. Indicators classified under economic, technical, organizational and HSE perspectives from EN 15341 standards are discussed and identified.Value – Description of emerging terminology in maintenance performance measurement adds to the consistency in communication of researchers and business stakeholders. Also, the identified maintenance performance indicators can facilitate performance measurement of organisations new to the process of measuring and analysing their performance.

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  • 200.
    Teymourian, Kiumars
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Seneviratne, Dammika
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ergonomics Contribution in Maintainability2017In: Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden / [ed] Diego Galar, Dammika Seneviratne, Luleå: Luleå tekniska universitet, 2017, p. 180-186Conference paper (Refereed)
    Abstract [en]

    The objective of this paper is to describe an ergonomics contribution in maintainability. The economical designs, inputs and training helps to increase themaintainability indicators for industrial devices. This analysis can be helpful, among other cases, to compare systems, to achieve a better design regarding maintainability requirements, to improve this maintainability under specific industrial environment and to foresee maintainability problems due to eventual changes in a device operation condition. With this purpose, this work first introduces the notion of ergonomics and human factors, maintainability and the implementation of assessment of human postures, including some important postures to perform maintenance activities. A simulation approach is used to identify the critical posture of the maintenance personnel and implements the defined postures with minimal loads on the personnel who use the equipment in a practical scenario. The simulation inputs are given to the designers to improve the workplace/equipment in order to high level of maintainability. Finally, the work concludes summarizing the more significant aspects and suggesting future research.

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