基于隶属度函数的电子设备故障预测研究

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。

Research on Fault Prediction of Electronic Device Based on Subjection Function

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.