Cumulative Hazard Intensity Based on Sequential Preventive Maintenance Strategy for Ensuring Minimum Reliability

Juhyun Lee, Jihyun Park, Suneung Ahn
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引用次数: 1

Abstract

— In designing a preventive maintenance policy, considering only either system reliability or cost may not ensure sustainable system operation because the biased design of a PM policy can result in high maintenance cost and short system life. A PM policy should thus be designed considering a trade-off between system reliability and maintenance costs. PM actions in condition-based maintenance policies are commonly performed at a fixed reliability threshold, which is set high to prevent severe breakdowns. However, it may be difficult to establish cost-effectiveness of a model when the reliability threshold is constrained to be fixed. In this study, a cost-effective PM policy based on a reliability threshold that decreases as the frequency of PM actions increases, is developed, which considers a fixed cumulative hazard threshold while keeping the reliability above an acceptable level. The developed policy was analyzed in two cases; one where the cumulative hazard threshold and one where the predetermined minimum reliability were given as the condition variable, respectively. The results were compared to the model of the fixed reliability threshold, which showed that the proposed PM model led to a lower expected maintenance cost and longer system lifespan. Finally, sensitivity analyses of the condition variables and the maintenance costs were conducted.
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基于最小可靠性顺序预防性维护策略的累积危害强度研究
—在设计预防性维护策略时,只考虑系统可靠性或成本可能无法确保系统的可持续运行,因为有偏见的PM策略设计可能导致高维护成本和短系统寿命。因此,在设计PM策略时应该考虑系统可靠性和维护成本之间的权衡。基于状态的维护策略中的PM操作通常在固定的可靠性阈值下执行,该阈值设置较高以防止严重故障。然而,当可靠性阈值被限制为固定时,可能难以建立模型的成本效益。在本研究中,提出了一种基于可靠性阈值的具有成本效益的PM策略,该策略考虑固定的累积危害阈值,同时保持可靠性高于可接受水平。在两个案例中分析了已制定的政策;其中一个是累积危险阈值,另一个是预先确定的最小可靠性作为条件变量。结果与固定可靠性阈值模型进行了比较,结果表明所提出的PM模型具有较低的预期维护成本和较长的系统寿命。最后,对工况变量和维修费用进行了敏感性分析。
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