Optimal structure of multi-state systems with multi-fault coverage

Peng, Rui; Mo, Huadong; Xie, Min; Levitin, Gregory

doi:10.1016/j.ress.2013.05.007

Cited by 48 publications

(18 citation statements)

References 23 publications

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“…Recent works on MSS include Lisnianski, A. (2007), Peng et al (2013), Zhou et al (2013), and Sheu and Zhang (2013). The MSS model has been applied in many areas such as manufacturing, service, and medical treatment systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal preventive maintenance and repair policies for multi-state systems

Sheu

Chang

Chen

et al. 2015

Reliability Engineering & System Safety

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Section: Introductionmentioning

confidence: 99%

Optimal preventive maintenance and repair policies for multi-state systems

Sheu

Chang

Chen

et al. 2015

Reliability Engineering & System Safety

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“…However, the computation effort will increase when more general partition schemes are considered, especially for higher order sensitivity indices. Genetic algorithm is proved to be quite powerful in solving complicated optimization problems [36][37][38] and it may be useful in finding the partition scheme that minimized the estimator's variance.…”

Section: Discussionmentioning

confidence: 99%

Space-partition method for the variance-based sensitivity analysis: Optimal partition scheme and comparative study

Zhai

Yang

Zhao

2014

Reliability Engineering & System Safety

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“…Amari et al [29] gave an overview of the load-sharing systems. More recent papers have considered load sharing systems for instance [30,31,32,33].…”

Section: Introductionmentioning

confidence: 99%

“…Most part of the aforementioned works deal with statistic inference and reliability study and very few are focused on maintenance optimization [32,34]. Almost none are looking at dedicated maintenance strategies to handle the load sharing problems.…”

Section: Introductionmentioning

confidence: 99%

Maintenance analysis of a two-component load-sharing system

Zhang¹,

Fouladirad²,

Barros³

2017

Reliability Engineering & System Safety

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This paper presents a two-component load-sharing system. The failure rates of the two components are time dependent and load dependent. Whenever one fails, it is imperfectly repaired with a time delay during which the failure rate of the survival component increases because of the resulting overload. Three maintenance policies are proposed considering imperfect preventive maintenance and system replacement. The optimal average costs in the long run under different maintenance policies are derived from the theoretical propositions. Sensitivity analyses through numerical examples are carried out.Keywords: Load-sharing system, multi-component systems, failure interaction, age replacement, imperfect repair, maintenance policy optimization, hoisting problem.failure rate of component i at time t, i = 1, 2. l i (t) load undertaken by component i at time t β i (t) nominal failure rate of component i at time t in absence of the load τ 0 duration of one mission τ duration between two consecutive imperfect repair in policy 1, τ = k 2 τ 0 , k 2 ∈ N

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Optimal structure of multi-state systems with multi-fault coverage

Cited by 48 publications

References 23 publications

Optimal preventive maintenance and repair policies for multi-state systems

Optimal preventive maintenance and repair policies for multi-state systems

Space-partition method for the variance-based sensitivity analysis: Optimal partition scheme and comparative study

Maintenance analysis of a two-component load-sharing system

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