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Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance

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  • Cai, Baoping
  • Zhang, Yanping
  • Wang, Haifeng
  • Liu, Yonghong
  • Ji, Renjie
  • Gao, Chuntan
  • Kong, Xiangdi
  • Liu, Jing

Abstract

Many resilience evaluation methods were proposed to assess system resilience under the influence of specific, constant disasters, and these methods are restricted by fixed external disasters. A novel evaluation methodology combining Markov model and dynamic Bayesian networks (DBNs) is developed, and is suitable for resilience evaluation under the influence of various external disasters. The external disaster model is established by mapping from actual physical models of influencing factors, the failure rate of a single component is obtained from the established disaster model, the system performance is obtained through the combination of Markov model and DBNs, and the resilience value is finally calculated through the integral of the performance curve. An example of power supply and control systems of subsea blowout preventers demonstrates the application of the evaluation methodology.

Suggested Citation

  • Cai, Baoping & Zhang, Yanping & Wang, Haifeng & Liu, Yonghong & Ji, Renjie & Gao, Chuntan & Kong, Xiangdi & Liu, Jing, 2021. "Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:reensy:v:209:y:2021:i:c:s0951832021000326
    DOI: 10.1016/j.ress.2021.107464
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    17. Ait Mokhtar, El Hassene & Laggoune, Radouane & Chateauneuf, Alaa, 2023. "Imperfect maintenance modeling and assessment of repairable multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    18. Li, Yao & He, Yihai & Liao, Ruoyu & Zheng, Xin & Dai, Wei, 2022. "Integrated predictive maintenance approach for multistate manufacturing system considering geometric and non-geometric defects of products," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    19. Zhou, Jian & Coit, David W. & Felder, Frank A. & Tsianikas, Stamatis, 2023. "Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    20. Liu, Xuan & Meng, Huixing & An, Xu & Xing, Jinduo, 2024. "Integration of functional resonance analysis method and reinforcement learning for updating and optimizing emergency procedures in variable environments," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    21. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    22. 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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