4.7 Article

Reliability and maintenance of systems subject to Gamma degradation and shocks in dynamic environments

期刊

APPLIED MATHEMATICAL MODELLING
卷 96, 期 -, 页码 367-381

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2021.03.009

关键词

Degradation; Dynamic environment; First passage time; Gamma process; Random shock; System availability

资金

  1. National Natural Science Foundation of China [71631001]

向作者/读者索取更多资源

This paper presents a reliability model for systems subject to sudden shocks and natural wear processes in randomly evolving environments, providing explicit computation formulas and simulation algorithms for calculating the cumulative distribution function of the first passage time. Additionally, a corrective replacement policy and analytical derivation of system availability are considered in the study.
Many systems or devices may experience degradation and shocks simultaneously whose behaviors may have discrepancies in different system operating environments. In this paper, a reliability model is developed for systems subject to both sudden shocks and natural wear processes in randomly evolving environments. The natural wear behavior of the system under different environment is governed by a distinct Gamma process. The system fails when the overall degradation which contains the natural wear and the cumulative damage caused by previous arrival shocks hits a preset threshold. To calculate the cumulative distribution function of the first passage time, the explicit computation formula based on analytical methods and the simulation algorithm based on Monte Carlo simulation methods are provided, which could verify each other. Further, a corrective replacement policy is considered in the case where the environment switching process takes place only when the system is functioning, and then the formula for the system availability is analytically derived. Finally, a study case of the lithium-ion battery is given to illustrate the proposed model and obtained results. (c) 2021 Elsevier Inc. All rights reserved.

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