Sequential preventive maintenance interval determination based on Monte Carlo method for deteriorating systems

Yukui Zhu, Linhan Guo
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引用次数: 3

Abstract

A sequential preventive maintenance (PM) simulation model is established for the system with the life distribution of degradation, assuming that corrective maintenance (CM) during the preventive maintenance interval is considered as minimal maintenance and preventive maintenance is imperfect maintenance. And the preventive maintenance effect is described by age reduction factor. According to the availability of each preventive maintenance interval, optimal preventive maintenance intervals which make systems have maximum availability are determined successively. And by means of the required minimum availability in the life cycle, the maximum number of preventive maintenance can be obtained. Finally, the model is verified by the system that obeys normal distribution. The results show that the model accords with the actual situation of the system and can provide strong support for the actual maintenance of the system.
基于蒙特卡罗方法的劣化系统序贯预防性维修间隔确定
建立了具有退化寿命分布的系统的顺序预防性维修仿真模型,将预防性维修区间内的纠正性维修视为最小维修,预防性维修为不完全维修。预防性维修效果用减龄因子来描述。根据各预防维修间隔的可用性,依次确定使系统具有最大可用性的最优预防维修间隔。并通过生命周期内所需的最小可用性,获得预防性维护的最大次数。最后,用服从正态分布的系统对模型进行了验证。结果表明,该模型符合系统的实际情况,可以为系统的实际维护提供有力的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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