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Reliability modeling methods for load-sharing k-out-of-n system subject to discrete external load

Author

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  • Zhang, Jianchun
  • Zhao, Yu
  • Ma, Xiaobing

Abstract

Most reliability modeling methods for the load-sharing k-out-of-n system are based on the assumed lifetime distribution and the relation function between the component failure rate and component load. However, the relation function is difficult to determine since the failure rate data have to be acquired. Therefore, this paper aims to develop a more direct reliability model for the load-sharing system based on the generalized load-strength model. In the presence of discrete external load, the proposed method utilizes the load distribution variation and strength damage after component failures to directly reflect the load-sharing effect, which can avoid measuring the failure rate. Further, the existing failure-rate-based reliability modeling method is also improved since the direct relation function between the component failure rate and component load is deduced. Two methods are both illustrated through the reliability analysis of a load-sharing redundant micro-engine system.

Suggested Citation

  • Zhang, Jianchun & Zhao, Yu & Ma, Xiaobing, 2020. "Reliability modeling methods for load-sharing k-out-of-n system subject to discrete external load," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019302145
    DOI: 10.1016/j.ress.2019.106603
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    References listed on IDEAS

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    2. Nezakati, Ensiyeh & Razmkhah, Mostafa, 2020. "Reliability analysis of a load sharing k-out-of-n:F degradation system with dependent competing failures," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Damircheli, Mahrad & Fakoor, Mahdi & Yadegari, Hamed, 2020. "Failure assessment logic model (FALM): A new approach for reliability analysis of satellite attitude control subsystem," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    4. Qin, Shuidan & Wang, Bing Xing & Tsai, Tzong-Ru & Wang, Xiaofei, 2023. "The prediction of remaining useful lifetime for the Weibull k-out-of-n load-sharing system," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    5. Cheng, Chen & Yang, Jun & Li, Lei, 2021. "Reliability evaluation of a k-out-of-n(G)-subsystem based multi-state phased mission system with common bus performance sharing subjected to common cause failures," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Zhao, Sangqi & Wei, Yian & Li, Yang & Cheng, Yao, 2026. "A multi-agent reinforcement learning (MARL) framework for designing an optimal state-specific hybrid maintenance policy for a series k-out-of-n load-sharing system," Reliability Engineering and System Safety, Elsevier, vol. 265(PA).
    7. Brown, Bodunrin & Liu, Bin & McIntyre, Stuart & Revie, Matthew, 2022. "Reliability analysis of load-sharing systems with spatial dependence and proximity effects," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    8. Mohajer, Amin & Bavaghar, Maryam & Farrokhi, Hamid, 2020. "Mobility-aware load Balancing for Reliable Self-Organization Networks: Multi-agent Deep Reinforcement Learning," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    9. Soheil Azizi & Milad Mohammadi, 2023. "Strategy selection for multi-objective redundancy allocation problem in a k-out-of-n system considering the mean time to failure," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 1021-1044, June.
    10. 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).
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    12. Behzad Karimi & Seyed Taghi Akhavan Niaki & Amir Hossein Niknamfar & Mahsa Gareh Hassanlu, 2021. "Multi-objective optimization of job shops with automated guided vehicles: A non-dominated sorting cuckoo search algorithm," Journal of Risk and Reliability, , vol. 235(2), pages 306-328, April.

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