Reliability evaluation for an electronic system subject to competing risks of dependent soft and hard failures

Shuai Zhao, Viliam Makis, Shaowei Chen, Yong Li

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)

Abstract

Reliability evaluation plays an essential role in prognostics and health management for electronic systems. This paper proposes a new method for reliability evaluation of a degrading electronic system subject to competing risks of dependent soft and hard failures. The soft failure is described by a nonstationary Gamma process exceeding the predefined critical level. In the previous works the failure modes were considered to be independent, while in this paper the dependent relationship is facilitated using the Cox's proportional hazard model that incorporates the degradation process as a time-varying covariate. To make the evaluation feasible, an approximation technique is applied in both degradation path and time axis, thereby all the reliability quantities can be derived and calculated with basic manipulations of the transition probability matrix. Finally, the performance and effectiveness of the proposed method are illustrated and analyzed in a numerical study.
Original languageEnglish
Title of host publicationProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
EditorsQiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
PublisherIEEE Signal Processing Society
Publication date16 Jan 2017
Article number7819897
ISBN (Electronic)9781509027781
DOIs
Publication statusPublished - 16 Jan 2017
Externally publishedYes
Event7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China
Duration: 19 Oct 201621 Oct 2016

Conference

Conference7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
CountryChina
CityChengdu, Sichuan
Period19/10/201621/10/2016
SeriesProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Competing risks
  • Non-stationary gamma process
  • Prognostics and health management
  • Proportional hazards model
  • Reliability assessment
  • Remaining useful life prediction

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