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Reliability modeling for consecutive k ‐out‐of‐ n : F systems with local load‐sharing components subject to dependent degradation and shock processes
Author(s) -
Guo Jianbin,
Shen Yongguang,
Lu Zhenping,
Che Haiyang,
Liu Zhuo,
Zeng Shengkui
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2645
Subject(s) - load sharing , reliability (semiconductor) , degradation (telecommunications) , work (physics) , shock (circulatory) , component (thermodynamics) , computer science , bridge (graph theory) , reliability engineering , distributed computing , engineering , physics , mechanical engineering , thermodynamics , medicine , telecommunications , power (physics)
Abstract Traditional k ‐out‐of‐ n models assume that the components are independent, while recent research studies assume that the components are dependent caused by global load‐sharing characteristic. In this paper, we investigate the consecutive k ‐out‐of‐ n systems with dependent components by local load‐sharing characteristic. The work load and shock load on failed components will be equally shared by adjacent components, so the components tend to fail consecutively. Consequently, the components degradation processes may be diverse, since their degradation rate (dependent on work load) and abrupt degradation (dependent on shock load) become unequal because of local load‐sharing effect. Furthermore, the system failure will be path‐dependent on the failure sequences of components, which results in that the same system states may have different system failure probabilities. This new dependence makes the system reliability model more complex. In this work, an analytical model that can be solved numerically is derived to compute the reliability with this complex dependence. The developed model is demonstrated by a cable‐strut system in the suspension bridge. The results show that the reliability decreases significantly when the new dependence is considered.