首页> 外文会议>Asian International Workshop on Advanced Reliability Modeling(AIWARM 2004); 20040826-27; Hiroshima(JP) >ESTIMATING PARAMETERS OF FAILURE MODEL FOR REPAIRABLE SYSTEMS WITH DIFFERENT MAINTENANCE EFFECTS
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ESTIMATING PARAMETERS OF FAILURE MODEL FOR REPAIRABLE SYSTEMS WITH DIFFERENT MAINTENANCE EFFECTS

机译:具有不同维护效果的可修复系统故障模型的参数估计

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摘要

The article considers an estimation problem of repairable units with different maintenance effects. Two proportional age reduction models are utilized for imperfect maintenance. Two models are considered; one with effective corrective maintenance (CM) and without preventive maintenance (PM) and the other with effective PM and minimal CM. The parameters of a Weilbull distribution and maintenance effects are estimated by the method of maximum likelihood. Genetic algorithm is used to find a set of values that maximize the likelihood function and simulation is used to illustrate the accuracy of the proposed method.
机译:本文考虑了具有不同维护效果的可修复单元的估计问题。两种比例减少年龄模型用于不完善的维护。考虑了两种模型;一个具有有效的纠正性维护(CM)且没有预防性维护(PM),另一个具有有效的PM和最小CM。 Weilbull分布和维持效果的参数通过最大似然法估算。遗传算法用于查找使似然函数最大化的一组值,而仿真则用于说明所提出方法的准确性。

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