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Maintenance Policies for a Deteriorating System Subject to Non-Self-Announcing Failures

机译:不断恶化的系统的维护策略,这些系统会出现非自我宣布的故障

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In this study, we comparatively evaluate various maintenance policies for systems subject to continuous-time Markovian deterioration, which may result in non-self-announcing failures. The decision maker inspects the system periodically at the decision epochs, identifies the current state, i.e., good, poor, or failed, and chooses an available action, i.e., do-nothing, repair, or replace. When the system fails, failure will not be detected until the next inspection epoch. The objective is to minimize the expected long-run cost rate, which consists of various components such as inspection, downtime, and maintenance costs. We provide numerical examples to analyze the effect of various cost parameters on the optimum inspection period and policy, and to demonstrate a practical application.
机译:在这项研究中,我们比较评估了系统连续不断的马尔可夫退化的各种维护策略,这些维护策略可能会导致非自我宣布的故障。决策者在决策时期定期检查系统,确定当前状态,即良好,不良或失败,并选择可用的措施,即不执行任何操作,维修或更换。当系统发生故障时,直到下一个检查时期才会检测到故障。目的是使预期的长期成本率最小化,该成本率包括检查,停机时间和维护成本等各种组件。我们提供了数值示例,以分析各种成本参数对最佳检查周期和策略的影响,并演示实际应用。

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