Key fault propagation path identification of CNC machine tools based on maximum occurrence probability

Yingzhi Zhang, Yutong Zhou, Fang Yang, Zhiqiong Wang, Mo Sun
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Abstract

In order to revise the deviation caused by ignoring the dynamic character of fault propagation in traditional fault propagation path identification methods, a method based on the maximum occurrence probability is proposed to identify the key fault propagation path. Occurrence probability of fault propagation path is defined by dynamic importance, dynamic fault propagation probability and fault rate. Taking the fault information of CNC machine tools which subject to Weibull distribution as an example, this method has been proven to be reasonable through comparative analysis. Result shows that the key fault propagation path of CNC machine tools is not unique, but changes with time. Before 1000 hours, key fault propagation path is electrical component (E) to mechanical component (M); after 1000 hours, key fault propagation path is auxiliary component (A) to mechanical component (M). This change should be taken into account when developing maintenance strategies and conducting reliability analysis.
基于最大发生概率的数控机床关键故障传播路径识别
针对传统故障传播路径识别方法忽略故障传播动态特性所带来的偏差,提出了一种基于最大发生概率的关键故障传播路径识别方法。故障传播路径的发生概率由动态重要性、动态故障传播概率和故障率来定义。以服从威布尔分布的数控机床故障信息为例,通过对比分析证明了该方法的合理性。结果表明,数控机床的关键故障传播路径不是唯一的,而是随时间变化的。1000小时前,关键故障传播路径为电气部件(E)到机械部件(M);1000小时后,辅助部件(A)到机械部件(M)是故障传播的关键路径,在制定维护策略和进行可靠性分析时应考虑到这一变化。
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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