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Differential Importance Measure for Components Subjected to Aging Phenomena

机译:经受老化现象的组件的差异重要性测度

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The paper refers to the evaluation of the unavailability of systems made by repairable binary independent components subjected to aging phenomena. Exponential, exponential-linear, and Weibull distributions are assumed for the components failure times. We assume that components failure rate increases only slightly during the maintenance period, but we recognize the effectiveness of preventive maintenance only in presence of aging phenomena. Importance measures allow the ranking of the input variables. We propose analytical equations that allow the estimation of the first-order Differential Importance Measure (DIM) on the basis of the Birnbaum measures of components, under the hypothesis of uniform percentage changes of parameters. Without further information than that used for the estimation of "DIM for components," "DIM for parameters" allows considering separately the importance of random failures, aging phenomena, and preventive and corrective maintenance. A two-step process is proposed for the system improvement, by increasing the components reliability and maintainability performance as much as possible (within the applicable technological limits) and then by optimizing preventive maintenance on them. Some examples taken from the scientific literature are solved in order to verify the correctness of the analytical equations and to show their use.
机译:本文涉及对遭受老化现象的可修复二进制独立组件制造的系统的不可用性的评估。假定组件失效时间为指数分布,指数线性分布和威布尔分布。我们假设组件的故障率在维护期间只会略有增加,但是我们认识到只有在出现老化现象的情况下,预防性维护才有效。重要性度量允许对输入变量进行排名。我们提出了分析方程,可以在参数的均匀百分比变化的假设下,基于组件的Birnbaum度量来估计一阶差分重要性度量(DIM)。如果没有用于估计“组件DIM”的信息,“参数DIM”可以单独考虑随机故障,老化现象以及预防性和纠正性维护的重要性。提出了两步过程来改进系统,方法是:尽可能提高组件的可靠性和可维护性(在适用的技术限制范围内),然后对组件进行预防性维护。解决了一些来自科学文献的例子,以验证解析方程的正确性并显示其用法。

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