Dynamic importance measure for the K-out-of-n: G system under repeated random load

Dong Lyu and Shubin Si

Reliability Engineering and System Safety, 2020, vol. 195, issue C

Abstract: Importance measures have been widely used in system reliability design and optimization to find out system weaknesses. But the existing importance measures are hard to identify the dynamic weakness effectively for systems subjected to repeated and random load. Based on the stress-strength interference (SSI) model, this paper aims to develop a dynamic importance measure for k-out-of-n: G systems under repeated random load. At first, the importance measure for systems under repeated random load is put forward by using the order statistics theory. Then by describing the loading process with the Poisson process, a time-dependent model of the dynamic importance measure is established. Further, a Monte Carlo (MC) simulation method is proposed to verify the correctness of the dynamic importance measures. Finally, the reliability analysis for a multi-lock cargo door system in the air freighter is implemented to illustrate the practical application of the dynamic importance measure.

Keywords: Importance measure; k-out-of-n: G system; Stress-strength interference; Monte Carlo simulation; Repeated random load (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:195:y:2020:i:c:s0951832018314091

DOI: 10.1016/j.ress.2019.106720

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