Reliability and importance measures for m-consecutive-k, l-out-of-n system with non-homogeneous Markov-dependent components
Reliability and importance measures for m-consecutive-k, l-out-of-n system with non-homogeneous Markov-dependent components
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DOI:
10.1016/j.ress.2017.05.023
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发表时间:
2017-11
期刊:
影响因子:
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通讯作者:
Xiaoyang Zhu;M. Boushaba;D. Coit;A. Benyahia
中科院分区:
文献类型:
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作者:
Xiaoyang Zhu;M. Boushaba;D. Coit;A. Benyahia
We study anm-consecutive-k, l-out-of-nsystem with non-homogenous Markov-dependent components. Them-consecutive-k, l-out-of-n:F system fails if and only if there are at leastmruns ofkconsecutive failed components and each of the runs may have at mostlcomponents overlapping with the previous run ofkconsecutive failed components. Using probability generating function method, we derive closed-form formulas for the reliability of them-consecutive-k, l-out-of-n:F system, the marginal reliability importance measure of a single component, and the joint reliability importance measure of two or more components when components are non-homogenous Markov-dependent. We also extend these results into an analogousm-consecutive-k, l-out-of-n:G system, which is developed by considering consecutive working components. The results can be simplified to the situations of the homogenous Markov-dependent components and the independent components. We present a practical application in quality control and related numerical examples that demonstrate the use of derived formulas and provide the insights on them-consecutive-k, l-out-of-nsystem and the importance measures.