2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2015
DOI: 10.1109/ieem.2015.7385753
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Reliability analysis and identification of critical components using Markov model

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Cited by 11 publications
(6 citation statements)
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“…The first and most important step to implement an RCM procedure is to identify system critical components through a decision‐making process. Decision‐making techniques ranging from game theory, fuzzy analytical hierarchical process, reliability‐oriented criticality factors (CFs), Markov models, and minimal cut sets have been introduced so far to distinguish the critical components in power generation, transmission, and distribution systems. In this paper, a multiattribute decision‐making (MADM) approach in conjunction with a reliability‐driven CF is used to determine the weights of important RCM attributes and to identify the critical components, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…The first and most important step to implement an RCM procedure is to identify system critical components through a decision‐making process. Decision‐making techniques ranging from game theory, fuzzy analytical hierarchical process, reliability‐oriented criticality factors (CFs), Markov models, and minimal cut sets have been introduced so far to distinguish the critical components in power generation, transmission, and distribution systems. In this paper, a multiattribute decision‐making (MADM) approach in conjunction with a reliability‐driven CF is used to determine the weights of important RCM attributes and to identify the critical components, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…The availability of a system is dependent on its MTTF and MTTR of the system. During the useful life of a system, failures are random, and its failure rate (λ) is assumed to be constant [15], [16], [21], [39]. Thus, the impact of imperfect repairs on the availability of the system is investigated while the failure rates of the system components are constant.…”
Section: B a Abmentioning
confidence: 99%
“…In this study, it is assumed that the distribution company is under the performance‐based regulation (PBR) [33, 34]. The PBR is a regulatory approach that relies on financial incentives and disincentives to induce desired behaviour by a regulated electric company.…”
Section: Proposed Maintenance Policymentioning
confidence: 99%