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FATIGUE RELIABILITY BASED OPTIMAL REPLACEMENT DECISION BASED ON FIRST ORDER RELIABILITY METHOD

机译:基于一阶可靠性方法的基于疲劳可靠性的最优更换决策

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摘要

This paper introduces a maintenance decision-making strategy in the general area of the replacement and reliability of mechanical components. The decision-making strategy involves the optimization of the replacement interval based on fatigue failure of mechanical components. Fatigue reliabilities of a component under random cyclic loading need to be evaluated to determine the optimal replacement intervals under fatigue failure. This task is undertaken by determining a reliability factor using an inverse reliability analysis. A reliability-defined ε-N curve (R-ε-N_f curve) can be generated for an empirical ε-N relationship and a "unique" reliability factor by modifying the nominal ε-N_f curve using reliability factors for an assigned reliability. A family of R-ε-N_f curves, which includes the conventional ε-N_f curve, can then be obtained. Hence, fatigue life under specified reliability or reliability based on mission life can be predicted using these curves. This method can efficiently determine replacement intervals for components whose operating costs increase with use and replacement intervals for components subject to failure induced by random process. An example is presented to demonstrate the application of the present method.
机译:本文介绍了机械零件更换和可靠性方面的维护决策策略。决策策略包括基于机械部件的疲劳失效来优化更换间隔。需要评估部件在随机循环载荷下的疲劳可靠性,以确定疲劳失效下的最佳更换间隔。通过使用逆可靠性分析确定可靠性因子来完成此任务。可以通过为可靠的ε-N关系和“唯一的”可靠度因子生成可靠度定义的ε-N曲线(R-ε-N_f曲线),方法是使用可靠度系数修改标称ε-N_f曲线以获得指定的可靠性。然后可以得到一系列R-ε-N_f曲线,其中包括常规的ε-N_f曲线。因此,可以使用这些曲线来预测指定可靠性下的疲劳寿命或基于任务寿命的可靠性。这种方法可以有效地确定其操作成本随使用而增加的部件的更换间隔,以及因随机过程而导致故障的部件的更换间隔。给出一个例子来说明本方法的应用。

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