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Seneviratne, Dammika
Publikasjoner (9 av 9) Visa alla publikasjoner
Galar, D., Seneviratne, D. & Kumar, U. (2022). Big Data in Railway O&M: A Dependability Approach. In: Research Anthology on Big Data Analytics, Architectures, and Applications: (pp. 391-416). IGI Global, 1
Åpne denne publikasjonen i ny fane eller vindu >>Big Data in Railway O&M: A Dependability Approach
2022 (engelsk)Inngår i: Research Anthology on Big Data Analytics, Architectures, and Applications, IGI Global, 2022, Vol. 1, s. 391-416Kapittel i bok, del av antologi (Annet vitenskapelig)
Abstract [en]

Railway systems are complex with respect to technology and operations with the involvement of a wide range of human actors, organizations and technical solutions. For the operations and control of such complexity, a viable solution is to apply intelligent computerized systems, for instance, computerized traffic control systems for coordinating airline transportation, or advanced monitoring and diagnostic systems in vehicles. Moreover, transportation assets cannot compromise the safety of the passengers by only applying operation and maintenance activities. Indeed, safety is a more difficult goal to achieve using traditional maintenance strategies and computerized solutions come into the picture as the only option to deal with complex systems interacting among them and trying to balance the growth in technical complexity together with stable and acceptable dependability indexes. Big data analytics are expected to improve the overall performance of the railways supported by smart systems and Internetbased solutions. Operation and Maintenance will be application areas, where benefits will be visible as a consequence of big data policies due to diagnosis and prognosis capabilities provided to the whole network of processes. This chapter shows the possibilities of applying the big data concept in the railway transportation industry and the positive effects on technology and operations from a systems perspective. © 2022 by IGI Global. All rights reserved.

sted, utgiver, år, opplag, sider
IGI Global, 2022
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-90987 (URN)10.4018/978-1-6684-3662-2.ch019 (DOI)2-s2.0-85130128941 (Scopus ID)
Merknad

ISBN för värdpublikation: 978-166843663-9, 978-166843662-2

Tilgjengelig fra: 2022-06-09 Laget: 2022-06-09 Sist oppdatert: 2022-06-09bibliografisk kontrollert
Ahmadi, M., Seneviratne, D. & Garmabaki, A. (2017). An approach to Symbolic Modelling: a Railway Case study for Maintenance Recovery Level Identification. In: Diego Galar, Dammika Seneviratne (Ed.), Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden. Paper presented at Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden (pp. 187-). Luleå: Luleå tekniska universitet
Åpne denne publikasjonen i ny fane eller vindu >>An approach to Symbolic Modelling: a Railway Case study for Maintenance Recovery Level Identification
2017 (engelsk)Inngår 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. 187-Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
Abstract [en]

Increasing demand for quality and reliability of the asset is progressively seen as a motivation for improved maintenance procedure and management. Always the role of qualitative maintenance data is neglected in the maintenance recovery level identification. Human factor parameter in the maintenance and qualitative technical data, for instance, maintenance experience, maintenance knowledge, training, quality before maintenance, number of previous maintenance, maintenance documentation and environmental condition can be collected and evaluated to increase the accuracy of maintenance recovery estimation. This information always expressed linguistically and considering their effect in the recovery model is challenging. The aim of this study is to propose a symbolic model to capture the effect of above qualitative factor on maintenance recovery level. Fuzzy inference systems are applied to qualitative expert knowledge to extract the percentage effect which can be incorporated in the recovery level model. The tamping railway case study is considered to validate the model. The results show that the maintenance experience and environmental condition are playing main role in maintenance quality. The application of above method can be extended to asset condition assessment in combination with data driven and physical model

sted, utgiver, år, opplag, sider
Luleå: Luleå tekniska universitet, 2017
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-63920 (URN)978-91-7583-841-0 (ISBN)
Konferanse
Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden
Tilgjengelig fra: 2017-06-12 Laget: 2017-06-12 Sist oppdatert: 2018-05-07bibliografisk kontrollert
Villarejo, R., Johansson, C.-a., Urko, L., Simon, V., Seneviratne, D. & Galar, D. (2017). Bottom to Top Approach for Railway KPI Generation. Management Systems in Production Engineering, 25(3), 191-198, Article ID 28.
Åpne denne publikasjonen i ny fane eller vindu >>Bottom to Top Approach for Railway KPI Generation
Vise andre…
2017 (engelsk)Inngår i: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, nr 3, s. 191-198, artikkel-id 28Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Railway maintenance especially on infrastructure produces a vast amount of data. However, having data is not synonymous with having information; rather, data must be processed to extract information. In railway maintenance, the development of key performance indicators (KPIs) linked to punctuality or capacity can help planned and scheduled maintenance, thus aligning the maintenance department with corporate objectives. There is a need for an improved method to analyse railway data to find the relevant KPIs. The system should support maintainers, answering such questions as what maintenance should be done, where and when. The system should equip the user with the knowledge of the infrastructure's condition and configuration, and the traffic situation so maintenance resources can be targeted to only those areas needing work. The amount of information is vast, so it must be hierarchized and aggregated; users must filter out the useless indicators. Data are fused by compiling several individual indicators into a single index; the resulting composite indicators measure multidimensional concepts which cannot be captured by a single index. The paper describes a method of monitoring a complex entity. In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values. The resulting composite and aggregated indicators can be a decision-making tool for asset managers at different hierarchical levels.

sted, utgiver, år, opplag, sider
Walter de Gruyter, 2017
Emneord
railway assets, fusion, hierarchy, aggregation, KPI, performance, condition monitoring, CMMS
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-65609 (URN)10.1515/mspe-2017-0028 (DOI)000408931800008 ()
Merknad

Validerad;2017;Nivå 2;2017-10-03 (rokbeg)

Tilgjengelig fra: 2017-09-12 Laget: 2017-09-12 Sist oppdatert: 2023-09-06bibliografisk kontrollert
Garmabaki, A., Seneviratne, D., Ahmadi, M., Barabadi, A. & Kumar, U. (2017). Data driven RUL estimation of rolling stock using intelligent functional test (ed.). In: (Ed.), Walls L.,Revie M.,Bedford T (Ed.), Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. Paper presented at European Safety and Reliability Conference : European Safety and Reliability Conference 25/09/2016 - 29/09/2016 (pp. 1994-1999). London: CRC Press
Åpne denne publikasjonen i ny fane eller vindu >>Data driven RUL estimation of rolling stock using intelligent functional test
Vise andre…
2017 (engelsk)Inngår i: Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 / [ed] Walls L.,Revie M.,Bedford T, London: CRC Press, 2017, s. 1994-1999Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The rolling stock health condition is important for both passenger and freight trains in terms of safety, availability, punctuality and efficiency. Various inspection and maintenance methodologies are per-formed on rolling stock equipment to fulfill the above performance measures. This paper suggests a new approach, namely, intelligent functional test (IFTest) to estimate the remaining useful life (RUL) of the equipment, sub-systems and systems of rolling stock dynamically by data driven methods. IFTest generates a baseline of the current operational abilities in contrast to the required abilities. The test integrates the historical and new set of data to track the trend of degradation of equipment. With this approach, the operation and maintenance personnel have ample time to make decisions for the maintenance and failure consequences. In addition, it is supposed that by using such data we are achieving a more accurate result for the estimation of reliability and RUL of critical rolling stock equipment.

sted, utgiver, år, opplag, sider
London: CRC Press, 2017
Emneord
railway maintenance, rolling stock, intelligent functional test, Data driven model, remaining useful life, reliability, maintenance, Maintenance Decision
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-26886 (URN)000414164700284 ()2-s2.0-85016201542 (Scopus ID)02558a39-945b-4c38-8fe2-3993f0afd7a1 (Lokal ID)9781138029972 (ISBN)978-1-315-37498-7 (ISBN)02558a39-945b-4c38-8fe2-3993f0afd7a1 (Arkivnummer)02558a39-945b-4c38-8fe2-3993f0afd7a1 (OAI)
Konferanse
European Safety and Reliability Conference : European Safety and Reliability Conference 25/09/2016 - 29/09/2016
Merknad

Upprättat; 2016; 20160617 (amigar)

Tilgjengelig fra: 2016-09-30 Laget: 2016-09-30 Sist oppdatert: 2022-07-04bibliografisk kontrollert
Teymourian, K., Seneviratne, D. & Galar, D. (2017). Ergonomics Contribution in Maintainability. In: Diego Galar, Dammika Seneviratne (Ed.), Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden. Paper presented at Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden (pp. 180-186). Luleå: Luleå tekniska universitet
Åpne denne publikasjonen i ny fane eller vindu >>Ergonomics Contribution in Maintainability
2017 (engelsk)Inngår 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. 180-186Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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

sted, utgiver, år, opplag, sider
Luleå: Luleå tekniska universitet, 2017
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-63919 (URN)978-91-7583-841-0 (ISBN)
Konferanse
Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden
Tilgjengelig fra: 2017-06-12 Laget: 2017-06-12 Sist oppdatert: 2018-05-09bibliografisk kontrollert
Teymourian, K., Seneviratne, D. & Galar, D. (2017). Ergonomics contribution in maintainability. Management Systems in Production Engineering, 25(3), 217-223, Article ID 31.
Åpne denne publikasjonen i ny fane eller vindu >>Ergonomics contribution in maintainability
2017 (engelsk)Inngår i: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, nr 3, s. 217-223, artikkel-id 31Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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

sted, utgiver, år, opplag, sider
Walter de Gruyter, 2017
Emneord
ergonomics, maintainability, human posture, human factors, ALBA simulation
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-65588 (URN)10.1515/mspe-2017-0031 (DOI)000408931800011 ()
Merknad

Validerad;2017;Nivå 2;2017-10-03 (rokbeg)

Tilgjengelig fra: 2017-09-12 Laget: 2017-09-12 Sist oppdatert: 2021-03-11bibliografisk kontrollert
Galar, D. & Seneviratne, D. (Eds.). (2017). Management Systems in Production Engineering: Maintenance Performance Measurement and Management Challenges:  From Sensing to Decision Support (Vol.25, Issue 3ed.). Gliwice, Poland: PA Nova S.A.
Åpne denne publikasjonen i ny fane eller vindu >>Management Systems in Production Engineering: Maintenance Performance Measurement and Management Challenges:  From Sensing to Decision Support
2017 (engelsk)Collection/Antologi (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Gliwice, Poland: PA Nova S.A., 2017. s. 143-223 Opplag: Vol.25, Issue 3
Emneord
Operation and Maintenance
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-65586 (URN)
Tilgjengelig fra: 2017-09-12 Laget: 2017-09-12 Sist oppdatert: 2020-12-07bibliografisk kontrollert
Galar, D. & Seneviratne, D. (Eds.). (2017). MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings. Paper presented at MPMM 2016, Luleå 29-30 november 2016. Luleå: Luleå University of Technology
Åpne denne publikasjonen i ny fane eller vindu >>MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings
2017 (engelsk)Konferanseproceedings (Fagfellevurdert)
Abstract [en]

The maintenance function is inherent to production but its activities are not always understood or quantified. A characteristic of maintenance is that its activity involves more than a group of people or a workshop and goes beyond the limits of a traditional department.

The scope of maintenance in a manufacturing environment is illustrated by its various definitions. British Standards Institute defines maintenance as a combination of all technical and associated administrative activities required to keep equipment, installations and other physical assets in the desired operating condition or restore them to this condition, some authors indicate that maintenance is about achieving the required asset capabilities within an economic or business context, or consists of the engineering decisions and associated actions necessary and sufficient for the optimization of specified equipment ‘capability’ where capability is the ability to perform a specified function within a range of performance levels that may relate to capacity, rate, quality, safety and responsiveness. However, they all agree that the objective of maintenance is to achieve the agreed-upon output level and operating pattern at minimum resource cost within the constraints of system condition and safety.

We can summarize the maintenance objectives under the following categories: ensuring asset functions (availability, reliability, product quality etc.); ensuring design life; ensuring asset and environmental safety; ensuring cost effectiveness in maintenance; ensuring efficient use of resources (energy and raw materials). For production equipment, ensuring the system functions as it should is the prime maintenance objective. Maintenance must provide the required reliability, availability, efficiency and capability of production systems. Ensuring system life refers to keeping the equipment in good condition to achieve or prolong its designed life. In this case, cost has to be optimized to achieve the desired plant condition. Asset safety is very important, as failures can have catastrophic consequences. The cost of maintenance has to be minimized while keeping the risks within strict limits and meeting the statutory requirements.

For a long time, maintenance was carried out by the workers themselves, in a more loosely organized style of maintenance with no haste for the machinery or tools to be operational again. However, things have changed.

•        First, there is a need for higher asset availability. With scale economies dominating the global map, the demand for products is increasing. However, companies suffer financially from the costs of expansion, purchase of industrial buildings, production equipment, acquisitions of companies in the same sector, and so on. Productive capacities must be kept at a maximum, and organizations are beginning to worry about keeping track of the parameters that may affect the availability of their plants and machinery.

•        The second concern follows from the first. When organizations begin to optimize their production costs and create cost models attributable to the finished product, they start to question maintenance cost. This function has grown to include assets, personnel etc., consuming a significant percentage of the overall organization budget. Therefore, when companies are establishing policies to streamline costs, the question of the maintenance budget arises, followed by questions about the success of this budget. They start to consider availability and quality parameters.

A question that has haunted maintenance throughout history now appears: how do we maximize availability at the lowest cost? To answer this question, various methodologies, technologies and batteries of indicators are being developed to observe the impacts of improvements.

sted, utgiver, år, opplag, sider
Luleå: Luleå University of Technology, 2017. s. 190
Emneord
Maintenance Performance Measurement, Maintenance Management
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-62475 (URN)978-91-7583-841-0 (ISBN)
Konferanse
MPMM 2016, Luleå 29-30 november 2016
Tilgjengelig fra: 2017-03-13 Laget: 2017-03-13 Sist oppdatert: 2020-02-07bibliografisk kontrollert
Garmabaki, A. H. S., Thaduri, A., Seneviratne, D. & Kumar, U. (2016). Opportunistic inspection planning for Railway eMaintenance (ed.). Paper presented at IFAC Workshop on Advanced Maintenance Engineering, Service and Technology : 19/10/2016 - 21/10/2016. IFAC-PapersOnLine, 49(28), 197-202
Åpne denne publikasjonen i ny fane eller vindu >>Opportunistic inspection planning for Railway eMaintenance
2016 (engelsk)Inngår i: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 49, nr 28, s. 197-202Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Railway infrastructure is a complex system that comprises of several subsystems which interacts in hierarchical, multi-distributive and multi-user environment. It is a difficult task to perform inspections for all the assets at an instant because the train management system decides when to conduct different types of inspection techniques on several assets in a particular track section. There are two main wastes of resources for inspection planning occurred in maintenance; under usage due to inaccurate prediction of failure and over usage because the necessary information already has been acquired from other sources. These irregularities lead to wastage of resources, for instance, human, machine and time that has tremendous implications on cost, availability and manpower. This paper proposes a methodology by using intelligent functional test outcome to assess the performability of an asset and integrating the data to the eMaintenance cloud platform of Swedish railway infrastructure. By implementing this methodology, we can achieve better planning of resources for optimal performance of assets. A case study is performed on Switches and Crossings of Swedish railway infrastructure for the applicability of the proposed methodology.

Emneord
eMaintenance, Opportunistic Inspection planning, Switches, Crossings, Swedish railway, Intelligent functional test
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-38686 (URN)10.1016/j.ifacol.2016.11.034 (DOI)000401258400034 ()2-s2.0-85006482341 (Scopus ID)d2444b3d-18e5-4c92-b1db-66fcc0aa3c54 (Lokal ID)d2444b3d-18e5-4c92-b1db-66fcc0aa3c54 (Arkivnummer)d2444b3d-18e5-4c92-b1db-66fcc0aa3c54 (OAI)
Konferanse
IFAC Workshop on Advanced Maintenance Engineering, Service and Technology : 19/10/2016 - 21/10/2016
Merknad

Konferensartikel i tidskrift

Tilgjengelig fra: 2016-10-03 Laget: 2016-10-03 Sist oppdatert: 2022-09-15bibliografisk kontrollert
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