基于隶属度函数的电子设备故障预测研究  

Research on Fault Prediction of Electronic Device Based on Subjection Function

作　　者：赵玉刚[1] 鞠建波[1] 张经伟[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《计算机测量与控制》2015年第7期2305-2307,共3页Computer Measurement &Control

基　　金：国家自然科学基金资助项目(60874112);军队科研专项资助项目(41512321);军队科研专项资助项目(415C173)

摘　　要：针对当前电子设备模块化方向发展现状,及时了解电子设备的运行状态,预防故障并缩短维修时间,采用模糊隶属度函数的方法,将设备的模糊状态进行量化,引入可信度因子及有关融合算法对以上数据进行处理,最后根据自动测试设备(ATE)测得的数据及专家经验,对该方法进行了验证;经实验证明,该方法是可行有效的,对电子设备的故障预测具有较高的准确度。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.

关 键 词：故障预测 故障机理 隶属度函数 特征参数 可信度因子 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]