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Data driven RUL estimation of rolling stock using intelligent functional test
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-2976-5229
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Tromsø University.
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Number of Authors: 52017 (English)In: 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, p. 1994-1999Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
London: CRC Press, 2017. p. 1994-1999
Keywords [en]
railway maintenance, rolling stock, intelligent functional test, Data driven model, remaining useful life, reliability, maintenance, Maintenance Decision
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-26886ISI: 000414164700284Scopus ID: 2-s2.0-85016201542Local ID: 02558a39-945b-4c38-8fe2-3993f0afd7a1ISBN: 9781138029972 (print)ISBN: 978-1-315-37498-7 (electronic)OAI: oai:DiVA.org:ltu-26886DiVA, id: diva2:1000066
Conference
European Safety and Reliability Conference : European Safety and Reliability Conference 25/09/2016 - 29/09/2016
Note

Upprättat; 2016; 20160617 (amigar)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2022-07-04Bibliographically approved

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Garmabaki, AmirSeneviratne, DammikaKumar, Uday

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