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Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm

  • Runyu Zhang
  • , Xiaobing Ma
  • , Li Yang*
  • , Huasheng Wang
  • , Qinglong Zhu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As large, complex, highly reliable technical equipment, electric multiple units (EMUs) require long-term maintenance to ensure safety and reliability during service. Because the maintenance cost of an EMU accounts for a large proportion of its entire life-cycle cost, scientific planning of the maintenance interval is vital to reduce maintenance cost and improve maintenance efficiency. This paper proposes a reliability modeling and evaluation approach for EMUs under multi-level maintenance scheduling, with the purpose of extending maintenance intervals and saving maintenance resources. A comprehensive reliability model is established via the mixture distribution approach; accordingly, the point estimation of the mixture distribution model is realized using the EM algorithm. The model feasibility and rationality are highlighted through an engineering case study with actual EMU failure/operational data, where the rationality of extending the maintenance interval (for Level 3 maintenance level) is demonstrated.

Original languageEnglish
Title of host publicationProceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023
EditorsLiming Ren, W. Eric Wong, Hailong Cheng, Xiaopeng Li, Shu Wang, Kanglun Liu, Ruifeng Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages615-621
Number of pages7
ISBN (Electronic)9798350329988
DOIs
StatePublished - 2023
Event14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023 - Urumqi, China
Duration: 26 Aug 202329 Aug 2023

Publication series

NameProceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023

Conference

Conference14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023
Country/TerritoryChina
CityUrumqi
Period26/08/2329/08/23

Keywords

  • EM algorithm
  • EMU
  • maintenance planning
  • mixture distribution
  • reliability assessment

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