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Resilience Metric of Equipment System: Theory, Measurement and Sensitivity Analysis

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  • Yang, Bofan
  • Zhang, Lin
  • Zhang, Bo
  • Wang, Wenfeng
  • Zhang, Minglinag

Abstract

This paper analyzes the equipment system resilience metric by employing reliability engineering parameters. It proposes a hybrid resilience metric by analyzing the applicability of two existing methods —- deterministic metric and probabilistic metric. Boundary analysis verifies the correctness under special circumstances. Based on the reliability engineering parameters of equipment, the concrete representation of hybrid measurement method is displayed in the usual “fault – repair†mode of equipment system. Then, under the given fault mode and repair strategy, and according to the diversity of fault and repair situation of complex equipment system after disturbance, the resilience metric of complex equipment system is proposed to represent the inherent properties of equipment. Moreover, the influence of reliability engineering parameters on the resilience metric of the equipment system is given in the sensitivity analysis. No matter in equipment design or improvement stage, the failure rate is a parameter which is far more important than the others, and importance of the others is related to the specific system. This study provides quantitative indexes for the performance of the whole resilience process from fault to repair after disturbance, which can offer the support for optimizations of equipment design and improvement.

Suggested Citation

  • Yang, Bofan & Zhang, Lin & Zhang, Bo & Wang, Wenfeng & Zhang, Minglinag, 2021. "Resilience Metric of Equipment System: Theory, Measurement and Sensitivity Analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
  • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021004087
    DOI: 10.1016/j.ress.2021.107889
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    8. Chen, Zhiwei & Hong, Dongpao & Cui, Weiwei & Xue, Weikang & Wang, Yao & Zhong, Jilong, 2023. "Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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