Reliability analysis of hydraulic transmission oil supply system considering common cause failure and maintenance correlation with success oriented

Xinlei Wang, Hongwei Zhang, Zhe Wang, Xiaojian Yi*

*Corresponding author for this work

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

Abstract

This paper presents an approach for reliability analysis of repairable systems with two-unit parallel structure considering Common Cause Failure (CCF) and maintenance correlation based on GO methodology. First, the GO algorithm for dealing with CCF is introduced. Then, the common cause failure probability formulas of two-unit parallel structure considering maintenance correlation are deduced based on Markov theory. Furthermore, the analysis process of the new GO method is formulated. Finally, the dynamic availability analysis of HTOSS is conducted by the GO method. And the result is compared with the result of system considering CCF, and the result of system without considering CCF and maintenance correlation. The results show that the CCF and maintenance correlation are not ignored for reliability analysis of such system. All in all, this study not only widens the application of GO method. But it also provides guidance and an approach for reliability analysis of repairable systems with two-unit parallel structure considering CCF and maintenance correlation.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
EditorsChuan Li, Shaohui Zhang, Jianyu Long, Diego Cabrera, Ping Ding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages435-441
Number of pages7
ISBN (Electronic)9781728101996
DOIs
Publication statusPublished - Aug 2019
Event2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 - Beijing, China
Duration: 15 Aug 201917 Aug 2019

Publication series

NameProceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019

Conference

Conference2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
Country/TerritoryChina
CityBeijing
Period15/08/1917/08/19

Keywords

  • Common Cause Failure
  • GO methodology
  • Maintenance correlation
  • Reliability analysis

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