Research on Fault Prediction of Electronic Device Based on Subjection Function

被引：0

作者：

Zhao Yugang ^{[1
]}

机构：

[1] High Tech Inst, FanGong Ting South St 12th, Qingzhou, Peoples R China

来源：

Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE) | 2016年 / 69卷

关键词：

Fault prediction; Fault mechanism; Subjection function; Feature parameter; Certainty factor;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In view of the current electronic equipment modular direction development, timely understanding of electronic equipment running status, to prevent failures and shorten the maintenance time, adopt the method of fuzzy membership function, and to quantify the fuzzy state of the equipment, introducing the credibility factor and the fusion algorithm to deal with the above data, according to the automatic test equipment (ATE) measured data and expert experience, the method are verified. The experiments show that this method is feasible and effective, for the fault of electronic equipment has high forecast accuracy.

引用

页码：141 / 146

页数：6