基于FNN与规则推理的轿车故障诊断系统

Car Fault Diagnosis System Based on FNN and Rule-based Inference

简要分析了模糊推理与规则推理以及这两者相结合的故障诊断方法 ,这三种方法在处理多症状多原因的机械故障诊断问题上都存在缺陷 ,基于此引出了模糊神经网络代替模糊推理并与规则推理相结合的先进诊断方法 ,最后给出了一个轿车诊断实例。实例表明该方法是有效的。

Three fault diagnosis methods,i.e.fuzzy inference,rule-based inference and the combination of both,are analyzed and their shortcomings in studying the relation between symptoms and causes of mechanical fault are also pointed out in this paper.Based on these,an advanced method is educed,in which the fuzzy neural network(FNN)instead of fuzzy inference is used and combined with rule-based inference.The result of a sample diagnosis on a real car shows that the method is effective.