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Reliability analysis and state transfer scheduling optimization of degrading load-sharing system equipped with warm standby components

Author

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  • Sheng-Jia Ruan
  • Yan-Hui Lin

Abstract

Standby redundancy can meet system safety requirements in industries with high reliability standards. To evaluate reliability of standby systems, failure dependency among components has to be considered especially when systems have load-sharing characteristics. In this paper, a reliability analysis and state transfer scheduling optimization framework is proposed for the load-sharing 1-out-of- N : G system equipped with M warm standby components and subject to continuous degradation process. First, the system reliability function considering multiple dependent components is derived in a recursive way. Then, a Monte Carlo method is developed and the closed Newton-Cotes quadrature rule is invoked for the system reliability quantification. Besides, likelihood functions are constructed based on the measurement information to estimate the model parameters of both active and standby components, whose degradation paths are modeled by the step-wise drifted Wiener processes. Finally, the system state transfer scheduling is optimized by the genetic algorithm to maximize the system reliability at mission time. The proposed methodology and its effectiveness are illustrated through a case study referring to a simplified aircraft hydraulic system.

Suggested Citation

  • Sheng-Jia Ruan & Yan-Hui Lin, 2021. "Reliability analysis and state transfer scheduling optimization of degrading load-sharing system equipped with warm standby components," Journal of Risk and Reliability, , vol. 235(6), pages 1166-1179, December.
    • Handle: RePEc:sae:risrel:v:235:y:2021:i:6:p:1166-1179
    DOI: 10.1177/1748006X211001713
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    References listed on IDEAS

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    1. Wang, Chaonan & Wang, Xiaolei & Xing, Liudong & Guan, Quanlong & Yang, Chunhui & Yu, Min, 2023. "Efficient reliability approximation for large k-out-of-n cold standby systems with position-dependent component lifetime distributions," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    2. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Heterogeneous 1-out-of-n standby systems with limited unit operation time," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    3. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Optimal sequencing of elements activation in 1-out-of-n warm standby system with storage," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Ma, Hang & Cui, Lirong & Zhao, Yingchen, 2026. "Analysis and optimal assignment of multi-mission systems across multiple phases in a shared component with cold standby," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).
    5. Zeng, Zhiguo & Barros, Anne & Coit, David, 2023. "Dependent failure behavior modeling for risk and reliability: A systematic and critical literature review," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    6. Hao, Songhua & Chen, Wei & Wang, Jun, 2025. "Joint optimization of condition-based operation and maintenance strategy for load-sharing systems subject to hybrid continuous and discrete loads," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    7. Dong, Qinglai & Bai, Mengmeng & Yan, Zhaoyao & Wu, Bei, 2025. "Optimal load adjustment policy for multi-state k-out-of-n balanced systems with self-healing mechanisms," Reliability Engineering and System Safety, Elsevier, vol. 261(C).

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