Importance measures based on system performance loss for multi-state phased-mission systems

Chao Zhang, Jingming Qiao, Shaoping Wang, Rentong Chen, Hongyan Dui, Yuwei Zhang, Yunpeng Bao and Yulong Zhou

Reliability Engineering and System Safety, 2025, vol. 256, issue C

Abstract: It is essential to identify weaknesses in a complex phased-mission system (PMS) in the early design or maintenance stage using importance measures to ensure high reliability and performance. However, most systems have multiple states, and sufficient analyses of importance measures for multi-state phased-mission systems (MS-PMSs) are lacking. This paper proposes novel importance measures for MS-PMSs that consider component and phase criticalities. The Markov model is used to describe the degradation of multi-state components. The failure rates are obtained from a recurrence model that considers the cumulative damage effect due to phase changes. A multi-state multi-valued decision diagram (MMDD) is used to describe the system structure in different phases and establish the system reliability model. Two importance measures that consider the system's performance loss during a phase mission are proposed: the phase-weighted Griffith importance measure (PWGIM) and the phase-weighted integrated importance measure (PWIIM). The two importance measures consider phase criticality and reflect the comprehensive impact of component state changes on MS-PMS performance. A case study of an unmanned aerial reconnaissance system (UARS) is conducted to demonstrate the effectiveness of the importance measures. The results indicate that the proposed importance measures are reliable and effective during the design or maintenance stages of MS-PMSs.

Keywords: Importance measure; Multi-state phased-mission system; Multi-state multi-valued decision diagram; Markov model; Phase weight (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008470

DOI: 10.1016/j.ress.2024.110776

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