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Reliability importance analysis of uncertain random k-out-of-n systems with multiple states

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  • Gao, Rong
  • Zhang, Shijie

Abstract

This paper analyzes the importance of components within a multiple-state uncertain random k-out-of-n system, which is called ur-m-k-out-of-n system for short. This system simultaneously contains randomness and uncertainty. The states of components exhibit polymorphism and are defined as uncertain random variables. The component importance analysis is both a prerequisite and a foundation for system reliability optimization. For this reason, the marginal reliability importance (MRI) and joint reliability importance (JRI) are proposed to examine the importance of an individual component or couple components of ur-m-k-out-of-n systems using chance theory. Some theorems are given to calculate MRI and JRI. Moreover, this paper gives several numerical examples to illustrate how to calculate MRI and JRI.

Suggested Citation

  • Gao, Rong & Zhang, Shijie, 2024. "Reliability importance analysis of uncertain random k-out-of-n systems with multiple states," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023008153
    DOI: 10.1016/j.ress.2023.109901
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    References listed on IDEAS

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    6. Lyu, Dong & Si, Shubin, 2020. "Dynamic importance measure for the K-out-of-n: G system under repeated random load," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
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