Reliability analysis of repairable systems with recurrent misuse-induced failures and normal-operation failures

Weiwen Peng, Lijuan Shen, Yan Shen and Qiuzhuang Sun

Reliability Engineering and System Safety, 2018, vol. 171, issue C, 87-98

Abstract: Failure of a repairable system may be attributed to operators’ misuse or system deterioration. The misuse may further deteriorate the system under normal operating conditions. Motivated by a real-world data set that records the recurrence times of misuse-induced failures and the normal-operation failures, this study proposes a stochastic process model for recurrence data analysis, where one type of failures is affected by the other. A non-homogeneous Poisson process and a trend-renewal process are separately used as the baseline event process models for the misuse-induced failures and the normal-operation failures, respectively. These two models are then combined by treating the event count of misuse-induced failures as covariate of the event process of normal-operation failures. A Bayesian framework is developed for parameter estimation and dependence tests of the two failure modes. A simulation study and the recurrence data from a manufacturing system are used to demonstrate the proposed method.

Keywords: Bayesian reliability; Repairable system; Bivariate point process; Non-homogeneous Poisson process; Recurrence data (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:171:y:2018:i:c:p:87-98

DOI: 10.1016/j.ress.2017.11.016

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