A reliability model for systems subject to mutually dependent degradation processes and random shocks under dynamic environments

Qingzhu Liang, Yinghao Yang and Changhong Peng

Reliability Engineering and System Safety, 2023, vol. 234, issue C

Abstract: The performance of many products may be simultaneously governed by multiple internal degradation processes, random shocks, and dynamic environments. This article presents a reliability model for systems subject to two degradation processes and random shocks under dynamic environments. Both multi-state and continuous degradation processes are considered and described by a Semi-Markov process and a monotone stochastic process, respectively. The model concurrently addressed the mutual degradation dependency and the effect of random shocks on the degradation processes. In addition, the influences of the environment on the degradation processes and random shocks were considered. Closed-form of reliability measures, such as reliability function and expected remaining useful life of the system with/without consideration of maintenance, were derived. The analytical model was applied to a study case from the literature to demonstrate its feasibility. We proposed a Monte Carlo (MC) simulation algorithm as an alternative solution for estimating system reliability measures. The results of the MC method and the literature verified the correctness of the theoretical result of the analytical model.

Keywords: Degradation modeling; Dependency; Random shocks; Dynamic environments; Reliability (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:234:y:2023:i:c:s0951832023000807

DOI: 10.1016/j.ress.2023.109165

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