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Reliability assessment of non-repairable multi-state phased mission systems with backup missions

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  • Li, Xiang-Yu
  • Xiong, Xiaoyan
  • Guo, Junyu
  • Huang, Hong-Zhong
  • Li, Xiaopeng

Abstract

Recently, the reliability of the multi-state phased mission systems (MS-PMSs) have been widely studied, which is used in the aerospace industry. Except for the phase dependency, the considering of the components/system multi-state behaviors in the PMSs also makes the reliability modeling more complicated. Meanwhile, the redundancy design can ensure high system reliability for the aerospace industry. The mission back-up design is always designed except for the redundant components, which can be reactivated when the working components fail. With the mission backup mechanism, some critical missions could be re-executed. To deal with these complicated situations, a new model based on multi-state multi-valued decision diagram (MMDD) is developed for the reliability modeling of MS-PMSs considering phase backups and multi-results. By using the PMS-MMDD method, the system reliability can be assessed efficiently. The correctness of the proposed method is verified by comparing with the MC simulation method. At last, the reliability of the propulsion system in a spacecraft is assessed to illustrate the proposed method.

Suggested Citation

  • Li, Xiang-Yu & Xiong, Xiaoyan & Guo, Junyu & Huang, Hong-Zhong & Li, Xiaopeng, 2022. "Reliability assessment of non-repairable multi-state phased mission systems with backup missions," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:reensy:v:223:y:2022:i:c:s0951832022001260
    DOI: 10.1016/j.ress.2022.108462
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    References listed on IDEAS

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    5. Wu, Xinyang & Yu, Haiyue & Balakrishnan, Narayanaswamy, 2022. "Modular model and algebraic phase algorithm for reliability modelling and evaluation of phased-mission systems with conflicting phase redundancy," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    6. Wang, Chaonan & Xing, Liudong & Yu, Jingui & Guan, Quanlong & Yang, Chunhui & Yu, Min, 2023. "Phase reduction for efficient reliability analysis of dynamic k-out-of-n phased mission systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    7. Wang, Chaonan & Xing, Liudong & Su, Yujie & Guan, Quanlong & Tang, Bo & Hu, Yuliang, 2023. "Reliability analysis of dynamic voting phased-mission systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    8. Matsuoka, Takeshi, 2023. "Reliability analysis of a BWR plant system at startup stage  - analysis by the GO-FLOW methodology with consideration of loop structures and phased mission problem -," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    9. Wang, Xiaolin & Xu, Jihui & Zhang, Lei & Wang, Ning, 2023. "Mission success probability optimizing of phased mission system balancing the phase backup and system risk: A novel GERT mechanism," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    10. Wang, Chaonan & Wang, Shuli & Xing, Liudong & Guan, Quanlong, 2023. "Efficient performability analysis of dynamic multi-state k-out-of-n: G systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    11. Li, Haibao & Cai, Zhiqiang & Zhang, Shuai & Zhao, Jiangbin & Si, Shubin, 2024. "Time series importance measure-based reliability optimization for cellular manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

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