2022
DOI: 10.1002/qre.3164
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A Markovian analytical approach to a repairable system under the mixed redundancy strategy with a repairman

Abstract: The mixed redundancy strategy is one of the most powerful techniques for improving system performance. This novel strategy has, however, been mostly studied in non-repairable redundant systems, while the present study aims to study, for the first time, its application to a repairable system with a repairman in availability and maintainability perspectives. In this system, a repairman is responsible for providing the repair services. The intended system simultaneously benefits from the repairman's vacation conc… Show more

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Cited by 6 publications
(3 citation statements)
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“…Here, it should be noted that although P i (t, x)(i � 2, 3) is only defned as 0⩽x < t, but for the sake of discussion, P i (t, x)(i � 2, 3) can be defned according to the actual physical background of the system and P i (t, x)(i � 2, 3) is extended on x > t, that is, supplementary defnition P i (t, x) � 0, x > t, i � 2, 3. At the same time, the system is out of state i(i � 2, 3) of the risk function; that is, the fx quotiety of the faulty component in the system in the state i(i � 2, 3) can be defned as follows by the conditional probability [21,22]:…”
Section: Mathematical Modelmentioning
confidence: 99%
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“…Here, it should be noted that although P i (t, x)(i � 2, 3) is only defned as 0⩽x < t, but for the sake of discussion, P i (t, x)(i � 2, 3) can be defned according to the actual physical background of the system and P i (t, x)(i � 2, 3) is extended on x > t, that is, supplementary defnition P i (t, x) � 0, x > t, i � 2, 3. At the same time, the system is out of state i(i � 2, 3) of the risk function; that is, the fx quotiety of the faulty component in the system in the state i(i � 2, 3) can be defned as follows by the conditional probability [21,22]:…”
Section: Mathematical Modelmentioning
confidence: 99%
“…For convenience, 􏽥 P i (t, x), 􏽥 P i (t), 􏽥 μ i (x) is still represented by P i (t, x), P i (t), μ i (x) in the following system equations. P i (t, x) can be obtained from the partial diferential equations (21):…”
Section: Journal Of Mathematicsmentioning
confidence: 99%
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