Reliability analysis for multi-component system considering failure propagation and dependent competing failure process

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL Reliability Engineering & System Safety Pub Date : 2025-02-18 DOI:10.1016/j.ress.2025.110930

Hao Lyu , Zhihang Li , Xuehang Qiao , Bing Lu , Hualong Xie , Michael Pecht

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Abstract

Failure propagation exists widely in complex systems and has great influence on reliability evaluation of systems. A system reliability model considering multiple failure propagation based on the dependent competing failure process is developed in this paper. A multiple failure propagation is explored, namely, acceleration of degradation and intensification of shock. General linear paths with different degradation rates and shock damage are used to describe the soft failure process of components. The mixed shock model and the Markov chain method are used to establish the reliability model of the hard failure process. The discrete probability density function method is used to calculate component failure time. The reliability model of the whole system is derived by utilizing the total probability method. The model is verified by using a Li-ion battery pack as a numerical example, and the corresponding analysis is conducted.

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考虑故障传播和依赖性竞争故障过程的多组件系统可靠性分析

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.