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Reliability analysis of PMS with failure mechanism accumulation rules and a hierarchical method

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  • Chen, Ying
  • Li, YingYi
  • Kang, Rui
  • Ali, Mosleh

Abstract

Phased-mission systems (PMSs) are featured by the variety of system configuration, environment or load condition in different phases which can attribute to the alteration of system behavior. From the view of failure mechanism development, the damage accumulation of each mechanism in different phases should be considered for calculating the system reliability. A hierarchical model based on the binary decision diagram (BDD) is proposed to integrate four types of damage accumulation rules into PMS reliability modeling, including the homogeneous failure mechanisms with phase constant stress or combinational profile and inhomogeneous failure mechanisms which have the same damage effect in one phase or different phases. An extended BDD was combined into the traditional BDD model to integrate three different levels of the failure accumulation, including the failure mechanism level, the phase level and the mission level. As a study case, the reliability of a phased-mission control and drive system was modeled and analyzed. Results showed that the proposed method can effectively describe the changing behavior of a PMS and obtain the system reliability by calculating the model.

Suggested Citation

  • Chen, Ying & Li, YingYi & Kang, Rui & Ali, Mosleh, 2020. "Reliability analysis of PMS with failure mechanism accumulation rules and a hierarchical method," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:reensy:v:197:y:2020:i:c:s0951832017311134
    DOI: 10.1016/j.ress.2019.106774
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    References listed on IDEAS

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    1. Xing, Liudong & Levitin, Gregory, 2013. "BDD-based reliability evaluation of phased-mission systems with internal/external common-cause failures," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 145-153.
    2. Wang, Chaonan & Xing, Liudong & Levitin, Gregory, 2012. "Competing failure analysis in phased-mission systems with functional dependence in one of phases," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 90-99.
    3. Chen, Ying & Yang, Liu & Ye, Cui & Kang, Rui, 2015. "Failure mechanism dependence and reliability evaluation of non-repairable system," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 273-283.
    4. Chen, Ying & Wang, Ze & Li, YingYi & Kang, Rui & Mosleh, Ali, 2018. "Reliability analysis of a cold-standby system considering the development stages and accumulations of failure mechanisms," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 1-12.
    5. Wang, Chaonan & Xing, Liudong & Levitin, Gregory, 2015. "Probabilistic common cause failures in phased-mission systems," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 53-60.
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    Cited by:

    1. 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).
    2. 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).
    3. Chen, Jiahui & Chen, Zhicheng & Xu, Yang & Li, Hui, 2021. "Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    4. Tang, Maochun & Xiahou, Tangfan & Liu, Yu, 2023. "Mission performance analysis of phased-mission systems with cross-phase competing failures," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

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