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Reliability Modelling of Multiple Repairable Units
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.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Tromsø University.
Number of Authors: 42016 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 32, no 7, p. 2329-2343Article in journal (Refereed) Published
Abstract [en]

This paper proposes a model selection framework for analysing the failure data of multiple repairable units when they are working in different operational and environmental conditions. The paper provides an approach for splitting the non-homogeneous failure data set into homogeneous groups, based on their failure patterns and statistical trend tests. In addition, when the population includes units with an inadequate amount of failure data, the analysts tend to exclude those units from the analysis. A procedure is presented for modelling the reliability of a multiple repairable units under the influence of such a group to prevent parameter estimation error. We illustrate the implementation of the proposed model by applying it on 12 frequency converters in the Swedish railway system. The results of the case study show that the reliability model of multiple repairable units within a large fleet may consist of a mixture of different stochastic models, i.e. the HPP/RP, TRP, NHPP and BPP. Therefore, relying only on a single model to represent the behaviour of the whole fleet may not be valid and may lead to wrong parameter estimation.

Place, publisher, year, edition, pages
2016. Vol. 32, no 7, p. 2329-2343
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-9615DOI: 10.1002/qre.1938ISI: 000386913700013Scopus ID: 2-s2.0-84951167794Local ID: 8456c6bf-9cef-4a35-b1ee-ae6357726f84OAI: oai:DiVA.org:ltu-9615DiVA, id: diva2:982553
Note

Validerad; 2016; Nivå 2; 2016-11-11 (rokbeg)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Garmabaki, AmirAhmadi, AlirezaMahmood, Yasser Ahmed

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