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  • 101.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Mishra, Madhav
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Modelo dinámico de rodamientos para su estudio frente a fallos geométricos locales2014Konferansepaper (Fagfellevurdert)
  • 102.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Mishra, Madhav
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Nonlinear response of rolling element bearings with local defects2014Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Rolling element bearings have been studied for decades, but more research is required into their dynamics, especially failure due to different kinds of damage in the context of condition monitoring. The appearance of a failure in an element of a bearing, as well as its degradation, can entail not only a malfunction in the system in which it is located, but also a catastrophic failure. This work presents a multi-body model of a rolling element bearing with the objective of analysing the dynamics of the bearing and emphasising the effect of defects in any of its element. The study models the metal-metal contacts between the bearing’s elements using the Hertz contact and the elastohydrodynamic lubricationtheories, both of which are theories of nonlinearity. It also considers the non-stationary regime of bearings and local geometric damage. Its results are compared with results in the literature. Finally, it includes a set of additional results showing different aspects of the response of the bearing.

  • 103.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan Technology Research Centre, Control and Monitoring Area.
    Salgado, Oscar
    IK4-Ikerlan Technology Research Centre, Control and Monitoring Area.
    Ciani, Lorenzo
    University of Florence, Department of Information Engineering.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Catelani, Marcantonio
    University of Florence, Department of Information Engineering.
    Architecture for hybrid modelling and its application to diagnosis and prognosis with missing data2017Inngår i: Measurement, ISSN 0263-2241, E-ISSN 1873-412X, Vol. 108, s. 152-162Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The advances in technology involving internet of things, cloud computing and big data mean a new perspective in the calculation of reliability, maintainability, availability and safety by combining physics-based modelling with data-driven modelling. This paper proposes an architecture to implement hybrid modelling based on the fusion of real data and synthetic data obtained in simulations using a physics-based model. This architecture has two levels of analysis: an online process carried out locally and virtual commissioning performed in the cloud. The former results in failure detection analysis to avoid upcoming failures whereas the latter leads to both diagnosis and prognosis. The proposed hybrid modelling architecture is validated in the field of rotating machinery using time-domain and frequency-domain analysis. A multi-body model and a semi-supervised learning algorithm are used to perform the hybrid modelling. The state of a rolling element bearing is analysed and accurate results for fault detection, localisation and quantification are obtained. The contextual information increases the accuracy of the results; the results obtained by the model can help improve maintenance decision making and production scheduling. Future work includes a prescriptive analysis approach.

  • 104.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Estimation of the reliability of rolling element bearings using a synthetic failure rate2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    As rolling element bearings are key parts of rotating machinery, the estimation of their reliability is very important. In this context, different standards and research articles propose how to estimate fatigue life for different levels of reliability. However, when trying to do calculations based on data from a real system, there are many difficulties because of economic and safety reasons. Consequently, the use of physical models to simulate the cases that are difficult to reproduce in a real system allows us to generate synthetic data related to them. Thus, in this paper a synthetic failure rate of rolling element bearings is calculated using a physical modelling approach. A multi-body model of a bearing is used in order to obtain its dynamic response in non-stationary conditions and in different degradation levels. Thus, synthetic data are generated to cover a range of degradation related to geometric changes in the surface of the parts of the bearing. Some of the output variables of these synthetic data, such as vibration, are used as covariates of a proportional hazard model, which is then trained to estimate the reliability of the bearing. In this way, a synthetic failure rate is obtained in such a way that it can improve the failure rate given by the manufacturers.

  • 105.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Estimation of the Reliability of Rolling Element Bearings Using a Synthetic Failure Rate2016Inngår i: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective, Springer International Publishing , 2016, 1, s. 99-112Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    As rolling element bearings are key parts of rotating machinery, the estimation of their reliability is very important. In this context, different standards and research articles propose how to estimate fatigue life for different levels of reliability. However, when trying to do calculations based on data from a real system, there are many difficulties because of economic and safety reasons. Consequently, the use of physical models to simulate the cases that are difficult to reproduce in a real system allows us to generate synthetic data related to them. Thus, in this paper a synthetic failure rate of rolling element bearings is calculated using a physical modelling approach. A multi-body model of a bearing is used in order to obtain its dynamic response in non-stationary conditions and in different degradation levels. Thus, synthetic data are generated to cover a range of degradation related to geometric changes in the surface of the parts of the bearing. Some of the output variables of these synthetic data, such as vibration, are used as covariates of a proportional hazard model, which is then trained to estimate the reliability of the bearing. In this way, a synthetic failure rate is obtained in such a way that it can improve the failure rate given by the manufacturers.

  • 106.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan Technology Research centre, Control and Monitoring Area, Arrasate-Mondragon, Spain.
    Salgado, Oscar
    IK4-Ikerlan Technology Research centre, Control and Monitoring Area, Arrasate-Mondragon, Spain.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Methodology for the physics-based modelling of multiple rolling element bearing configurations2017Inngår i: Proceedings of the Institution of mechanical engineers. Proceedings part K, journal of multi-body dynamics, ISSN 1464-4193, E-ISSN 2041-3068, Vol. 231, nr 1, s. 194-212Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Condition-based maintenance is a maintenance strategy which can be employed for monitoring the condition of rolling element bearings (REBs). For that purpose, the physics-based modelling of these machine elements is an interesting approach. There is a wide range of REBs regarding their internal configuration, dimensions and operating conditions. In this paper, a methodology to create a physics-based mathematical model to reproduce the dynamics of multiple kinds of REB is presented. Following a multi-body modelling, the proposed methodology takes advantage of the reusability of models to cover a wide range of bearing configurations, as well as to generalise the dimensioning of the bearing and the application of the operating conditions. The methodology is proved to be valid by its application to two case studies. Simulations of a deep-groove ball bearing and a cylindrical roller bearing are carried out, analysing their dynamic response as well as analysing the effects of damage in their parts. Results of the two case studies show good agreement with experimental data and results of other models in literature.

  • 107.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Multi-body modelling of rolling element bearings and performance evaluation with localised damage2016Inngår i: Eksploatacja i Niezawodnosc - Maintenance and Reliability, ISSN 1507-2711, Vol. 18, nr 4, s. 638-648Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Condition-based maintenance is an extended maintenance approach for many systems, including rolling element bearings. Forthat purpose, the physics-based modelling of these machine elements is an interesting method. The use of rolling element bearingsis extended to many fields, what implies a variety of the configurations that they can take regarding the kind of rolling elements,the internal configuration and the number of rows. Moreover, the differences of the applications make rolling element bearingsto take different sizes and to be operating at different conditions regarding both speed and loads. In this work, a methodology tocreate a physics-based mathematical model to reproduce the dynamics of multiple kinds of rolling element bearings is presented.Following a multi-body modelling, the proposed strategy takes advantage of the reusability of models to cover a wide range ofbearing configurations, as well as to generalise the dimensioning of the bearing and the application of the operating conditions.Simulations of two bearing configurations are presented in this paper, analysing their dynamic response as well as analysing theeffects of damage in their parts. Results of the two case studies show good agreement with experimental data and results of othermodels in literature.

  • 108.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Test rig model development and validation for the diagnosis of rolling element bearings2016Inngår i: 14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety, Milan, Italy, 27-28 June 2016, 2016, s. 46-49Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In the context of condition based maintenance, carrying out diagnosis and prognosis processes is a key. For that purpose the evaluation of the condition of a machine is necessary, for which the development of physical models is useful as the response of the modelled system can be obtained in different operating conditions. In this paper, an electromechanical model for a rotary machine is presented, making special emphasis on the modelling of rolling element bearings. Thus, the response to different damaged conditions is evaluated. The proposed model is validated by comparing the simulation results with experimental signals acquired by tests carried out at different operating conditions. This comparison shows a good agreement as differences less than 0.6 % for the model of the bearing and differences up to the 10 % for the modelling of the rest of the elements are obtained.

  • 109.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Validation of a physics-based model for rolling element bearings with diagnosis purposes2016Inngår i: Proceedings from the 8th European Workshop on Structural Health Monitoring (EWSHM 2016), 2016, Vol. 21, s. 461-470Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The use of rolling element bearings is widely extended to many fields such as wind energy systems, transportation and machine tools, among others. This broad use makes their performance analysis an interesting field of research. There are techniques to determine the life of a bearing and the on-going failure, if any, under some assumptions with some values of reliability. However, the unfulfilment of those hypothesis or other effects that affect the standard operation of rolling element bearings (e.g. current leakage, overloading, corrosion, etc.) leads to a higher probability of the appearance of failure. The monitoring of the condition of rolling element bearings has two main goals, the diagnosis and the prognosis of the item. Indeed, diagnosis, i.e. damage detection, localization and identification, has a great interest on the knowledge of the state of rolling element bearings in order to prevent faulty situations that may cause risky or costly situations, identifying those adverse situations and trying to mitigate the undesired effects.Therefore, risky situations due to failures need additional knowledge about the dynamics of a system (rolling element bearings in this case) and physics-based models can be used in order to represent it. They have an interesting potential due to the fact that they are able to simulate situations that may arise in some damaged conditions that might be either difficult, costly or insecure to reproduce in a real system. However, there is a need to validate the physics-based models to assure that it follows the real response of the system.This work presents the validation process of a model already developed by the authors. Experimental tests have been done in a test rig and the vibration measurements taken from these tests have been used to validate the model. Damage on the surface of the outer race has been induced to one of the rolling element bearings of the test rig. Thus, frequency-domain and order-domain analysis have been performed and the experimental results have been compared to the results obtained from the simulations. Differences lower than 2.5 % have been found for a wide range of constant and variable speeds and, hence, the model is validated.

  • 110.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan Technology Research Centre.
    Salgado, Oscar
    IK4-Ikerlan Technology Research Centre.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Validation of a physics-based model of a rotating machine for synthetic data generation in hybrid diagnosis2017Inngår i: Structural Health Monitoring, ISSN 1475-9217, E-ISSN 1741-3168, Vol. 16, nr 4, s. 458-470Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Diagnosis and prognosis are key issues in the application of condition based maintenance. Thus, there is a need to evaluate the condition of a machine. Physics-based models are of great interest as they give the response of a modelled system in different operating conditions. This strategy allows for the generation of synthetic data that can be used in combination with real data acquired by sensors to improve maintenance. The article presents an electromechanical model for a rotating machine, with special emphasis on the modelling of rolling element bearings. The proposed model is validated by comparing the simulation results and the experimental results in different operating conditions and different damaged states. This comparison shows good agreement, obtaining differences of up to 10% for the modelling of the whole rotating machine and less than 0.6% for the model of the bearing.

  • 111.
    Leturiondo, Urko
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. IK4-Ikerlan.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Mishra, Madhav
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Methodology for the Estimation of the Fatigue Life of Rolling Element Bearings in Non-stationary Conditions2016Inngår i: Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17 / [ed] Fakher Chaari; Radozlaw Zimroz; Walter Bertelmus; Mahamed Haddar, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2016, Vol. 4, s. 413-423Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The estimation of the life of rolling element bearings (REBs) is crucial to determine when maintenance is required. This paper presents a methodology to calculate the fatigue life of REBs considering non-stationary conditions. Instead of taking a constant value, the paper considers cyclic loading and unloading processes, as well as increasing and decreasing values of the speed of rotation. It employs a model-based approach to calculate contact loads between the different elements of the bearing, with a finite element model (FEM) used to calculate the contact stresses. Using this information, it then performs a fatigue analysis to study overloading in faulty bearings.

  • 112.
    Linnéusson, Gary
    et al.
    School of Engineering Science, University of Skövde.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Wickelgren, Mikael
    School of Business, University of Skövde.
    In Need for Better Maintenance Cost Modelling to Support the Partnership with Manufacturing2016Inngår i: 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, s. 263-282Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The problem of maintenance consequential costs has to be dealt with in manufacturing and is core of this paper. The need of sustainable partnership between manufacturing and maintenance is addressed. Stuck in a best practice thinking, applying negotiation as a method based on power statements in the service level agreement, the common best possible achievable goal is put on risk. Instead, it may enforce narrow minded sub optimized thinking even though not intended so. Unfortunately, the state of origin is not straightforward business. Present maintenance cost modelling is approached, however limits to its ability to address the dynamic complexity of production flows are acknowledged. The practical problem to deal with is units put together in production flows; in which downtime in any unit may or may not result in decreased throughput depending on its set up. In this environment accounting consequential costs is a conundrum and a way forward is suggested. One major aspect in the matter is the inevitable need of shift in mind, from perspective thinking in maintenance and manufacturing respectively towards shared perspectives, nourishing an advantageous sustainable partnership.

  • 113.
    Lopes, Julio C.O.
    et al.
    Division of Mechanical Engineering, Technological Institute of Aeronautics, São José dos Campo.
    Scarpel, Rodrigo
    Division of Mechanical Engineering, Technological Institute of Aeronautics, São José dos Campo.
    Abrahão, Fernando T.M.
    Laboratory of Logistics Engineering, Technological Institute of Aeronautics, São José dos Campo.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Ahmadi, Alireza
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Optmization In Performance-Based Logistics Contracts2017Inngår i: 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, s. 133-138Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Performance-based    Logistics    (PBL)    contracts    require  metrics  and  methodologies  set  in  a  systemic  way  to  provide  readiness  for  the  warfighter  at  reasonable  costs.  There  must be a clever and verifiable connection of metrics in order to access  and  analyze  data and  to  deliver  sound  and  consistent  inputs  for  the  entire  support  system  to  accomplish  its  goals.    A  system   of   incentives   and   penalties   usually   takes   place   and   suggests  functions  to  be  maximized  and/or  minimized  in  a  multi-criterion  and  highly  integrated  environment.  This  study  deals  with  the  optimization  of  the  entire  setup  of  Performance-Based Logistics  contracts  and  is  limited  to  a  preliminary  study  in  a  simple  scenario  that  has  showed  a  promises  results.    A  mixed  method, using both the Ɛ-Constraint  and    Goal  Programming  is  proposed to model the case. Results indicate that metrics used for reliability,    maintainability,    availability    and    supportability    (RAMS)  and  costs  can  be  optimized  simultaneously  for  clever  contracts.

  • 114.
    Lopes, Julio C.O.
    et al.
    Division of Mechanical Engineering, Technological Institute of Aeronautics, São José dos Campo.
    Scarpel, Rodrigo
    Division of Mechanical Engineering, Technological Institute of Aeronautics, São José dos Campo.
    Abrahão, Fernando T.M.
    Laboratory of Logistics Engineering, Technological Institute of Aeronautics, São José dos Campo.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Ciani, Lorenzo
    University of Florence, Department of Information Engineering.
    Optimization in performance-based logistics contracts2017Inngår i: 4th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2017: proceedings, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 413-418, artikkel-id 7999608Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Performance-based Logistics (PBL) contracts require metrics and methodologies set in a systemic way to provide readiness for the warfighter at reasonable costs. There must be a clever and verifiable connection of metrics in order to access and analyze data and to deliver sound and consistent inputs for the entire support system to accomplish its goals. A system of incentives and penalties usually takes place and suggests functions to be maximized and/or minimized in a multi-criterion and highly integrated environment. This study deals with the optimization of the entire setup of Performance-Based Logistics contracts and is limited to a preliminary study in a simple scenario that has showed a promises results. A mixed method, using both the £-Constraint and Goal Programming is proposed to model the case. Results indicate that metrics used for reliability, maintainability, availability and supportability (RAMS) and costs can be optimized simultaneously for clever contracts.

  • 115.
    Mishra, Madhav
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Leturiondo, Urko
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Synthetic data for hybrid prognosis2014Inngår i: Proceedings of the European Conference of the Prognostics and Health Management Society 2014, 2014, s. 796-801Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Using condition-based maintenance (CBM) to assess machinery health is a popular technique in many industries, especially those using rotating machines. CBM is relevant in environments where the prediction of a failure and the prevention and mitigation of its consequences increase both profit and safety. Prognosis is the most critical part of this process and the estimation of Remaining Useful Life (RUL) is essential once failure is identified. This paper presents a method of synthetic data generation for hybrid model-based prognosis. In this approach, physical and data-driven models are combined to relate process features to damage accumulation in time-varying service equipment. It uses parametric models and observer-based approaches to Fault Detection and Identification (FDI). A nominal set of parameters is chosen for the simulated system, and a sensitivity analysis is performed using a general-purpose simulation package. Synthetic data sets are then generated to compensate for information missing in the acquired data sets. Information fusion techniques areproposed to merge real and synthetic data to create training data sets which reproduce all identified failure modes, even those that do not occur in the asset, such as Reliability Centered Maintenance (RCM), Failure Mode and Effect Analysis(FMEA). This new technology can lead to better prediction of remaining useful life of rotating machinery and minimizing and mitigating the costly effects of unplanned maintenance actions.

  • 116.
    Mishra, Madhav
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Leturiondo, Urko
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Salgado, Oscar
    IK4-Ikerlan.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Hybrid modelling for failure diagnosis and prognosis in the transport sector: Acquired data and synthetic data2015Inngår i: Dyna, ISSN 0012-7361, Vol. 90, nr 2, s. 139-145Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Safety in transport is a key. Railway and aerospace sectors have a need for ways to predict the behaviour of trains and aircraft, respectively. With this information, maintenance tasks for the correct operation of the assets can be carried out, reducing the number of failures that can cause an accident. However, the lack of enough data of the faulty state of those systems makes this to be difficult. Because of that either hidden faults or unknown faults can occur. As regulations in transport are very restrictive, components are usually substituted in early states of their degradation, which implies a loss of useful life of those components.In this article a methodology to overcome this limitation is presented. This methodology consists in the fusion of data obtained from two sources: data acquired from the real system, and synthetic data generated using physical models of the system. These physical models should be constructed in such a way that they can reproduce the main failure modes that can occur in the modelled system. This data fusion, that creates a hybrid model, not only allows to classify the condition of the system according to the aforementioned failure modes, but also to define new data that do not belong to any of those failure modes as a new failure mode, improving diagnosis and prognosis processes.

  • 117.
    Mishra, Madhav
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Saari, Juhamatti
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Leturiondo, Urko
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Hybrid Models for Rotating Machinery Diagnosis and Prognosis: Estimation of Remaining Useful Life2014Rapport (Annet vitenskapelig)
    Abstract [en]

    The purpose of this literature review is to summarise the various technologies that can be used for machinery diagnosis and prognosis. The review focuses on Condition Based Maintenance (CBM) in machinery systems, with a short description of the theory behind each technology; it also includes references to state-of-the-art research into each theory. When we compare technologies, especially with respect to cost, complexity, and robustness, we find varied abilities across technologies. The machinery health assessment for CBM deployment is accepted worldwide; it is very popular in industries using rotating machines involved. These techniques are relevant in environments where predicting a failure and preventing or mitigating its consequences will increase both profit and safety. Prognosis is the most critical part of this process and is now recognised as a key feature in maintenance strategies; the estimation of Remaining Useful Life (RUL) is essential when a failure is identified. The literature review identifies three basic ways to model the fault development process: with symbols, data, or mathematical formulations based on physical principles. The review discusses hybrid approaches to machinery diagnosis and prognosis; it notes some typical approaches and discusses their advantages and disadvantages.

  • 118.
    Morant, Amparo
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Tamarit, Jaime
    CEDEX, Centro de estudios y experimentación de obras públicas.
    Cloud computing for maintenance of railway signalling systems2012Inngår i: Proceedings of The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, 2012, Vol. 1, s. 551-559Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Signalling systems in railway allow the control, supervision and protection of railway traffic. These systems play an important part in a railway’s capacity and availability. Thus, their reliability and maintenance are key concerns. A number of signalling systems are on the market today; these work to guarantee safety while meeting the required capacity of the network. In order to keep the railway network in an optimal state, it is critical for the signalling systems to have tools that can make data mining and analysis easier and faster. The solution described herein allows data mining and posterior analysis without depending on the elements that provide the data. This is a key factor for signalling systems, due to their complexity and continuous development. For integration purposes, a data collection and distribution system based on the concept of cloud computing is proposed to collect data or information pertaining to the assets of the railway signalling systems. From a maintenance point of view, a benefit is that information or data may be collected pertaining to the health, variability, performance or utilization of an asset.

  • 119.
    Morant, Amparo
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Tretten, Phillip
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Improvement of configuration management in railway signalling system2012Inngår i: 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, s. 23-32Konferansepaper (Fagfellevurdert)
  • 120.
    Morant, Amparo
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Wisten, Åke
    Luleå tekniska universitet, Institutionen för system- och rymdteknik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Niska, Stefan
    Trafikverket.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Railway EMI impact on train operation and environment2012Inngår i: EMC Europe 2012: International Symposium on Electromagnetic Compatibillity, September 15-21, Rome, Italy, 2012Konferansepaper (Fagfellevurdert)
    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.

  • 121. Naeem, Hassan Bin
    et al.
    Mainali, Ganesh
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Johansson, Carl-Anders
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Fusion of operations, event-log and maintenance data: a case study for optimising availability of mining shovels2013Inngår i: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013, 2013, Vol. 1, s. 484-503Konferansepaper (Fagfellevurdert)
    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.

  • 122.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    An augmented reality application to support maintenance – is it possible?2013Inngår i: MPMM 2013 (Maintenance Performance Measurement and Management), Lappeenranta, Finland, 2013, s. 260-271Konferansepaper (Fagfellevurdert)
    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.

  • 123.
    Palo, Mikael
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Nordmark, Thomas
    Mining Technology R and D, LKAB Kiruna Mine.
    Asplund, Matthias
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Larsson, Dan
    Damill AB, Luleå.
    Condition monitoring at the wheel/rail interface for decision-making support2014Inngår i: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 228, nr 6, s. 705-715Artikkel i tidsskrift (Fagfellevurdert)
    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

  • 124.
    Palo, Mikael
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Nordmark, Thomas
    LKAB.
    Asplund, Matthias
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Larsson, Dan
    Damill AB.
    Wheel/rail condition monitoring to support rolling stock maintenance actions2013Inngår i: Proceedings of 10th International Heavy Haul Association Conference, 2013Konferansepaper (Fagfellevurdert)
    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.

  • 125.
    Palo, Mikael
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Schunnesson, Håkan
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Larsson-Kråik, Per-Olof
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Rolling stock condition monitoring using wheel/rail forces2012Inngår i: Insight (Northampton), ISSN 1354-2575, E-ISSN 1754-4904, Vol. 54, nr 8, s. 451-455Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 126.
    Papic, Ljubisa
    et al.
    University of Kragujevac.
    Kovacevic, Srdja
    University of Kragujevac.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Thaduri, Adithya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Investigation of Causes of Mining Machines Maintenance Problems2016Inngår i: 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, s. 283-299Konferansepaper (Fagfellevurdert)
    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. .

  • 127.
    Papic, Ljubisa
    et al.
    University of Kragujevac.
    Kovacevic, Srdja
    University of Kragujevac.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Thaduri, Adithya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Safety Analysis of Mining Machines Specific Maintenance Operations2016Inngår i: 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, s. 485-496Konferansepaper (Fagfellevurdert)
    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

  • 128.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Achieving sustainable development through maintenance excellence2012Inngår i: Journal of Applied Engineering Science, ISSN 1451-4117, Vol. 10, nr 2, s. 79-84Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 129.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Berges, L.
    University of Zaragoza.
    Decision support systems in maintenance: Fusion of business data and physical data2011Inngår i: 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, s. 227-239Konferansepaper (Fagfellevurdert)
    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

  • 130.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Berges, Luis
    University of Zaragoza.
    Decision support systems in maintenance: fusion of business data and physical data2012Inngår i: Condition Monitor, ISSN 0268-8050, nr 299, s. 7-12Artikkel i tidsskrift (Annet vitenskapelig)
    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.

  • 131.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Schunnesson, Håkan
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Overall factory average spectrum: global vibration index for diagnosis and prognosis of large sets of rotating machinerry2011Inngår i: Diagnostyka, ISSN 1641-6414, Vol. 58, nr 2, s. 39-47Artikkel i tidsskrift (Fagfellevurdert)
  • 132.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Performance measurement and management for maintenance: A literature review2015Inngår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 21, nr 1, s. 2-33Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 133.
    Perales, Numan
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Inspection and analysis of the functioning of the bearings used on railways: A study of the life of a bearing under real operating conditions2014Rapport (Annet vitenskapelig)
    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.

  • 134.
    Perales, Numan
    et al.
    Division of Operation and Maintenance Engineering, Lulea University of Technology.
    Hernandez, Angel
    Division of Operation and Maintenance Engineering, Lulea University of Technology.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. Division of Operation and Maintenance Engineering, Lulea University of Technology.
    Villarejo, Roberto
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. Division of Operation and Maintenance Engineering, Lulea University of Technology.
    A comparison of techniques to determine the nominal life (L10) on railway bearings2014Konferansepaper (Fagfellevurdert)
    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.

  • 135.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Euhus, Dirk
    ARTIS.
    Burrows, Mike
    MONITION.
    Yurre, Carlos
    FAGOR AOTEK.
    Health and Performances Machine Tool Monitoring Architecture2014Inngår i: 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, s. 139-144Konferansepaper (Fagfellevurdert)
    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.

  • 136.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Reserve Fleet Indexed To Exogenous Cost Variables2019Inngår i: Transport, ISSN 1648-4142, E-ISSN 1648-3480, Vol. 34, nr 4, s. 437-454Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 137.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance2017Inngår i: Eksploatacja i Niezawodnosc, ISSN 1507-2711, Vol. 19, nr 3, s. 358-368Artikkel i tidsskrift (Fagfellevurdert)
    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

  • 138.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Predicting condition based on oil analysis: A case study2019Inngår i: Tribology International, ISSN 0301-679X, E-ISSN 1879-2464, Vol. 135, s. 65-74Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 139.
    Rodriguez, Emilio
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Simon, Victor
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Berges, Luis
    Department Design engineering and manufacturing, University of Zaragoza.
    Tamarit, Jaime
    CEDEX, Centro de estudios y experimentación de obras públicas.
    El impacto de la complejidad de la electrónica en la seguridad del sistema ferroviario2014Inngår i: Mantenimiento, ISSN 0214-4344, nr 280, s. 17-23Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 140.
    Rodriguez, Emilio
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Simon, Victor
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Niska, Stefan
    Trafikverket.
    Safety Issues of Track Circuits: A Hybrid Approach2014Inngår i: Communications in Dependability and Quality Management, ISSN 1450-7196, Vol. 17, nr 2, s. 15-26, artikkel-id 209636620Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 141.
    Saari, Juhamatti
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Mishra, Madhav
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Johansson, Carl-Anders
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Applied methods of condition monitoring and fault detection for underground mobile machines2013Konferansepaper (Fagfellevurdert)
    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.

  • 142.
    Sanda, Mohammed-Aminu
    et al.
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle.
    Abrahamsson, Lena
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Arbetsvetenskap.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Delsing, Jerker
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Lean instrumentation framework for sensor pruning and optimization in condition monitoring2011Inngår i: 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, Vol. 1, s. 202-215Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper discusses a lean instrumentation framework for guiding the introduction of the lean concept in condition monitoring in order to enhance the organizational capability (i.e. human, technical and management trichotomy) and reduce the complexity in the maintenance management systems of industrial companies. Additionally, decision-making, based on severity diagnosis and prognosis in condition monitoring, is a complex maintenance function which is based on large data-set of sensors measurements. Yet, the entirety of such decision-making is not dependent on only the sensors measurements, but also on other important indices, such as the human factors, organizational aspects and knowledge management. This is because, the ability to identify significant features from large amount of measured data is a major challenge for automated defect diagnosis, a situation that necessitate the need to identify signal transformations and features in new domains. The need for the lean instrumentation framework is justified by the desire to have a modern condition monitoring system with the capability of pruning to the optimal level the number of sensors required for efficient and effective serviceability of the maintenance process. It is concluded that there are methodologies that can be developed to enable more efficient condition monitoring systems, with benefits for many processes along the value chain.

  • 143.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Integrating mining loading and hauling equipment selection and replacement decisions using stochastic linear programming2017Inngår i: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 31, nr 1, s. 52-65Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 144.
    Schmidt, Bernard
    et al.
    University of Skövde.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Wang, Lihui
    University of Skövde.
    Context Awareness in Predictive Maintenance2016Inngår i: 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, s. 197-211Konferansepaper (Fagfellevurdert)
    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.

  • 145.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Context preparation for predictive analytics: a case from manufacturing industry2017Inngår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, nr 3, s. 341-354Artikkel i tidsskrift (Fagfellevurdert)
    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

  • 146.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. Tecnalia Research and Innovation, Industry and Transport Division, Miñano (Araba), Spain.
    Smart maintenance and inspection of linear assets: An Industry 4.0 approach2018Inngår i: Acta IMEKO, ISSN 0237-028X, Vol. 7, nr 1, s. 50-56Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 147.
    Seneviratne, Dammika
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Boyang, Shi
    Tecnalia Research and Innovation, Industry and Transport Division, San-Sebastian.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Autonomous inspection and maintenance of linear assets2017Inngår i: 15th IMEKO TC10 Workshop on Technical Diagnostics 2017: "Technical Diagnostics in Cyber-Physical Era", 2017, s. 194-199Konferansepaper (Fagfellevurdert)
    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

  • 148.
    Simon, Victor
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    The Development of an Advanced Maintenance training programme utilizing Augmented Reality2014Konferansepaper (Fagfellevurdert)
    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.

  • 149.
    Simon, Victor
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Prognostic Hybrid Model From Data Fusion on Machine Tools2015Inngår i: Proceedings of the XXI IMEKO World Congress: Prague, Czech Republic, 2015, Prague: IMEKO , 2015Konferansepaper (Fagfellevurdert)
    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

  • 150.
    Simon, Victor
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Johansson, Carl-Anders
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs2017Inngår i: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, nr 3, s. 183-190Artikkel i tidsskrift (Fagfellevurdert)
    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.

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