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Reliability evaluation of standby redundant systems based on the survival signatures methods

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  • Wang, Shaoxuan
  • Yao, Yuantao
  • Ge, Daochuan
  • Lin, Zhixian
  • Wu, Jie
  • Yu, Jie

Abstract

Standby redundant design is extensively used in many practical systems to improve system reliability. Various methodologies have been developed to analyze the reliability of standby redundant systems. However, most methods require complex analytical procedures or significant simulation time to perform an accurate analysis due to the existence of sequential failure events (SFEs). In this paper, the survival signature-based methods are proposed for the rapid reliability evaluation of standby redundant systems. First, we deduced state probabilistic expressions of SFEs under the survival signature paradigm using conditional probability. Second, an analytical method for accurately calculating the survival signatures and reliability of the considered system is proposed based on the obtained state probabilistic expressions. Third, for large-scale and complex systems, we also proposed a simulation method to simplify the cumbersome calculations in proposed analytical method. The proposed simulation method is implemented by two algorithms, and can efficiently approximate the system reliability at a massive reduction in the simulation demands. Three examples are examined to highlight the superiority of the proposed methods compared with other methods.

Suggested Citation

  • Wang, Shaoxuan & Yao, Yuantao & Ge, Daochuan & Lin, Zhixian & Wu, Jie & Yu, Jie, 2023. "Reliability evaluation of standby redundant systems based on the survival signatures methods," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    • Handle: RePEc:eee:reensy:v:239:y:2023:i:c:s0951832023004234
    DOI: 10.1016/j.ress.2023.109509
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    References listed on IDEAS

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    1. Behrensdorf, Jasper & Regenhardt, Tobias-Emanuel & Broggi, Matteo & Beer, Michael, 2021. "Numerically efficient computation of the survival signature for the reliability analysis of large networks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Feng, Geng & Patelli, Edoardo & Beer, Michael & Coolen, Frank P.A., 2016. "Imprecise system reliability and component importance based on survival signature," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 116-125.
    3. Juybari, Mohammad N. & Hamadani, Ali Zeinal & Ardakan, Mostafa Abouei, 2023. "Availability analysis and cost optimization of a repairable system with a mix of active and warm-standby components in a shock environment," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Patelli, Edoardo & Feng, Geng & Coolen, Frank P.A. & Coolen-Maturi, Tahani, 2017. "Simulation methods for system reliability using the survival signature," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 327-337.
    5. Huang, Xianzhen & Aslett, Louis J.M. & Coolen, Frank P.A., 2019. "Reliability analysis of general phased mission systems with a new survival signature," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 416-422.
    6. Ge, Daochuan & Lin, Meng & Yang, Yanhua & Zhang, Ruoxing & Chou, Qiang, 2015. "Quantitative analysis of dynamic fault trees using improved Sequential Binary Decision Diagrams," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 289-299.
    7. Qin, Jinlei & Coolen, Frank P.A., 2022. "Survival signature for reliability evaluation of a multi-state system with multi-state components," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    8. Marqusee, Jeffrey & Jenket, Donald, 2020. "Reliability of emergency and standby diesel generators: Impact on energy resiliency solutions," Applied Energy, Elsevier, vol. 268(C).
    9. Zhou, Siwei & Ye, Luyao & Xiong, Shengwu & Xiang, Jianwen, 2022. "Reliability analysis of dynamic fault trees with Priority-AND gates based on irrelevance coverage model," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    10. Francesco Di Maio & Chiara Pettorossi & Enrico Zio, 2023. "Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures," Post-Print hal-04103855, HAL.
    11. Alkaff, Abdullah, 2023. "Optimum warmness levels in general standby systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    12. Reed, Sean, 2017. "An efficient algorithm for exact computation of system and survival signatures using binary decision diagrams," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 257-267.
    13. Yi, He & Cui, Lirong & Balakrishnan, Narayanaswamy, 2021. "Computation of survival signatures for multi-state consecutive-k systems," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    14. Li, Yuntao & Wang, Yumeng & Lai, Yuying & Shuai, Jian & Zhang, Laibin, 2023. "Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    15. Ruijters, Enno & Reijsbergen, Daniël & de Boer, Pieter-Tjerk & Stoelinga, Mariëlle, 2019. "Rare event simulation for dynamic fault trees," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 220-231.
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