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Resilience efficiency importance measure for the selection of a component maintenance strategy to improve system performance recovery

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  • Zhang, Chao
  • Chen, Rentong
  • Wang, Shaoping
  • Dui, Hongyan
  • Zhang, Yadong

Abstract

To rapidly recover system performance after a failure event, a maintenance strategy is often determined to guide the repair of failed components. Due to the differences and interdependence between components, different maintenance sequences can lead to significant differences in the efficiency of system performance recovery. Hence, this paper analyzes a component maintenance strategy for the efficient recovery of system performance. First, two importance measures are proposed, namely the resilience efficiency importance measure (REIM) and the maintenance efficiency measure (MEM). The REIM measures the impact of the individual repair of a failed component on the efficiency of system performance recovery, and the MEM evaluates the repair efficiencies of different maintenance strategies. Both measures are used simultaneously to identify the importance of components for maintenance and guide the selection of maintenance sequences. The measures are then used to compare the maintenance efficiencies of different strategies, and the maintenance strategy that can accomplish the optimal overall efficiency of system performance recovery throughout the whole repair process is ultimately selected. Finally, the application of the proposed recovery process analysis method to a horizontal subsea Christmas tree system verifies its performance.

Suggested Citation

  • Zhang, Chao & Chen, Rentong & Wang, Shaoping & Dui, Hongyan & Zhang, Yadong, 2022. "Resilience efficiency importance measure for the selection of a component maintenance strategy to improve system performance recovery," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s0951832021005706
    DOI: 10.1016/j.ress.2021.108070
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    Cited by:

    1. Dui, Hongyan & Wei, Xuan & Xing, Liudong, 2023. "A new multi-criteria importance measure and its applications to risk reduction and safety enhancement," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Hongyan Dui & Yulu Zhang & Yun-An Zhang, 2023. "Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost," Mathematics, MDPI, vol. 11(8), pages 1-20, April.
    3. Chen, Liwei & Cheng, Chunchun & Dui, Hongyan & Xing, Liudong, 2022. "Maintenance cost-based importance analysis under different maintenance strategies," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    5. Chen, Rentong & Zhang, Chao & Wang, Shaoping & Zio, Enrico & Dui, Hongyan & Zhang, Yadong, 2023. "Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    6. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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