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Reliability analysis for multi-component degraded system subject to multiple dependent competing failure process

  • Beihang University

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

Abstract

Concerning on estimating reliability and performance distribution of multi-component degraded system which subject to multiple dependent competing failure process, we proposed an algorithm integrating and utilizing the basic degradation information of constituted components and failure propagation theory. On the basis of known basic degradation information of components, we introduced the proportional hazards model (PHM) to describe the effect of environmental stress and degradation interactions from other components, which impact others through changing some intermediate media such as raising the temperature, increasing the current and so on. The reliability of system was evaluated with multi-state system theory, and the system structure function was obtained by response surface methodology (RSM). Then we utilized the Monte Carlo method to sample the pseudo lifetime of system, and distribution test was adopted to obtain the reliability function. A numerical example was also given to illustrate the proposed model.

Original languageEnglish
Title of host publicationProceedings of 2015 Prognostics and System Health Management Conference, PHM 2015
EditorsTingdi Zhao, Michael G. Pecht, Shunong Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385534
DOIs
StatePublished - 12 Jan 2016
EventPrognostics and System Health Management Conference, PHM 2015 - Beijing, China
Duration: 21 Oct 201523 Oct 2015

Publication series

NameProceedings of 2015 Prognostics and System Health Management Conference, PHM 2015

Conference

ConferencePrognostics and System Health Management Conference, PHM 2015
Country/TerritoryChina
CityBeijing
Period21/10/1523/10/15

Keywords

  • multi-state system
  • Multiple dependent competing failure process
  • performance reliability
  • proportional hazard model
  • response surface methodology

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