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A model of preventive maintenance for parallel, series, and single-item replacement systems based on statistical analysis

机译:基于统计分析的并行,串行和单项替换系统的预防性维护模型

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Preventive maintenance (PM) scheduling of units is addressed as a crucial issue that effects on both economy and reliability of power systems. In this paper, we describe an application of statistical analysis for determining the best PM strategy in the case of parallel, series, and single-item replacement systems. A key aspect of industrial maintenance is the trade-off between cost and time of performing PM operations. The goals of this study is to determine the best time for performing PM operations in each system and also finding the number of spare parts and facilities in single-item replacement and parallel systems respectively so that the average cost per unit time is minimized. In this proposed maintenance strategy, PM operations are regularly performed on the production unit in equal time intervals. Finally, three examples are presented to demonstrate the effectiveness of the proposed models.
机译:机组的预防性维护(PM)调度已成为影响电力系统经济性和可靠性的关键问题。在本文中,我们描述了统计分析在确定并行,串行和单项替换系统情况下最佳PM策略中的应用。工业维护的一个关键方面是执行PM操作的成本和时间之间的权衡。这项研究的目的是确定在每个系统中执行PM操作的最佳时间,并分别找到单项更换和并行系统中的备件和设施数量,以使单位时间的平均成本最小化。在此建议的维护策略中,PM操作在相等的时间间隔内定期在生产单元上执行。最后,给出了三个例子来证明所提出模型的有效性。

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