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Optimizing dynamic performance of phased-mission systems with a common bus and warm standby elements

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  • Lin, Chen
  • Xiao, Hui
  • Xiang, Yisha
  • Peng, Rui

Abstract

Phased-mission systems widely exist in many real-world systems such as communication networks, aerospace and unmanned aerial vehicles. The reliability modeling and analysis of phased-mission systems is highly important due to their indispensable roles in the society. Reliability analysis of a phased-mission system is challenging because of the statistical dependencies between different phases and the dynamic behaviors of system components. This research considers a phased-mission system with a common bus and warm standby elements. Each unit of the phased-mission system consists of n binary-state nonrepairable elements that are configured as a 1-out-of-n: G warm standby system. A recursive algorithm is proposed to determine the performance of the stochastic process with arbitrary time-to-failure distributions. A reliability evaluation algorithm based on the universal generating function is proposed to analyze the average instantaneous availability of the considered system. We further study the optimal system design problem that aims to find the optimal elements allocation as well as the optimal activation sequence to maximize the average instantaneous availability. A case study of a supervisory control and data acquisition system is presented to illustrate the application of the proposed model and algorithms.

Suggested Citation

  • Lin, Chen & Xiao, Hui & Xiang, Yisha & Peng, Rui, 2023. "Optimizing dynamic performance of phased-mission systems with a common bus and warm standby elements," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:reensy:v:240:y:2023:i:c:s0951832023005124
    DOI: 10.1016/j.ress.2023.109598
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    References listed on IDEAS

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    1. Suprasad V. Amari & Chaonan Wang & Liudong Xing & Rahamat Mohammad, 2018. "An efficient phased-mission reliability model considering dynamic k-out-of-n subsystem redundancy," IISE Transactions, Taylor & Francis Journals, vol. 50(10), pages 868-877, October.
    2. Rui Peng, 2019. "Optimal component allocation in a multi-state system with hierarchical performance sharing groups," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(4), pages 581-587, April.
    3. Gregory Levitin, 2011. "Reliability of multi-state systems with common bus performance sharing," IISE Transactions, Taylor & Francis Journals, vol. 43(7), pages 518-524.
    4. Papageorgiou, Effie & Kokolakis, George, 2010. "Reliability analysis of a two-unit general parallel system with (n-2) warm standbys," European Journal of Operational Research, Elsevier, vol. 201(3), pages 821-827, March.
    5. Wells, Charles E., 2014. "Reliability analysis of a single warm-standby system subject to repairable and nonrepairable failures," European Journal of Operational Research, Elsevier, vol. 235(1), pages 180-186.
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    Citations

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    Cited by:

    1. Zhang, Tianyuan & Xing, Liudong & Mo, Yuchang, 2025. "A multi-valued decision diagrams-based method for reliability analysis of performance-sharing k-out-of-n: G system considering component degradation," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    2. Chen, Guizhuang & Hu, Yuliang & Wang, Chaonan & Wu, Zhitao & Rong, Wenjing & Guan, Quanlong, 2025. "Efficient reliability analysis of generalized k-out-of-n phased-mission systems," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    3. Zhao, Xian & Han, He & Jiao, Chunhui & Qiu, Qingan, 2024. "Reliability modeling of k-out-of-n: F balanced systems with common bus performance sharing," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    4. Gu, Liudong & Wang, Guanjun & Zhou, Yifan, 2024. "Optimal allocation of multi-state performance sharing systems with multiple common buses," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    5. Luo, Xiaofang & Guo, Linghui & Bai, Xu & Li, Yushan & Zan, Yingfei & Luo, Jiaxuan, 2025. "A multi-phase mission success evaluation approach for maritime autonomous surface ships considering equipment performance degradation and system composition changes," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).

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