Reliability analysis of load-sharing systems with spatial dependence and proximity effects

Brown, Bodunrin; Liu, Bin; McIntyre, Stuart; Revie, Matthew

doi:10.1016/j.ress.2021.108284

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…13 CAFs have been found common in loading dependent systems. [14][15][16] Keizer et al 14 explored a parallel and redundant system that experiences failure dependence due to load sharing and economic dependence. The study varies the extent of load sharing and the degradation process to uncover crucial insights into the optimal maintenance strategy.…”

Section: Introductionmentioning

confidence: 99%

“…The study varies the extent of load sharing and the degradation process to uncover crucial insights into the optimal maintenance strategy. Brown et al 15 proposed an innovative spatial model aimed at assessing the reliability of load-sharing systems, accounting for spatial dependence and proximity effects, which is suitable for systems, whether they can provide distance-related information or not. Sharifi et al 16 presented a novel matrix-based approach for the multi-state and load-sharing components to calculate the system inspection cost.…”

Section: Introductionmentioning

confidence: 99%

“…One of the prime examples of systems exhibiting such dependencies is a loading dependent system, in which all components collectively share the overall workload of the entire system 13 . CAFs have been found common in loading dependent systems 14–16 . Keizer et al 14 .…”

Section: Introductionmentioning

confidence: 99%

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Reliability analysis of a loading dependent system with cascading failures considering overloads

Zhao,

Sun,

Liu

2023

Quality & Reliability Eng

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In many production facilities, multiple components have to work together to share the overall workload on the entire system, leading to loading dependence and higher vulnerability to cascading failures. Additionally, overloading of one component can expedite the failures of others, exemplifying another form of loading dependence. In this study, we develop a system reliability analysis model for loading dependent systems considering overloads based on the Multi‐state CASCADE model. By incorporating a time variable, the tailor‐made model is able to characterize the duration of each generation in the cascading process, along with the cumulative time of the whole cascading process until the system collapse. A combination of analytical and simulation techniques is then employed to investigate how various potential influencing factors of loading dependence and cascading processes influence the system reliability. The results demonstrate that the effectiveness of proposed method in estimating the system reliability of the loading dependent system considering overloads. Such findings can improve the decision‐makings of reliability prediction, system design, and maintenance optimization, especially in scenarios involving the loading dependent with cascading failures.

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