基于排放和模糊神经网络模型的柴油机故障诊断方法

摘要

根据排放检测数据规律,定义并提取特征参数,建立了规则与模糊神经网络有机结合的柴油机故障诊断模型及其对应的特征知识库,确立了模型的"可塑性"学习路线,并以单缸失火故障为例,进行了模型诊断实例研究.结果表明:运用该方法进行柴油机的故障诊断,结果准确,识别速度快,诊断效率高.%In this paper, a new method of fault diagnosis for diesel engine based on the exhaust emission is proposed. The parameters are defined from the emission measured data by the analysis of the emission. And the diagnosis model which is made up of the rule and the fuzzy network is built. Then the characteristic database and the plasticity principle are confirmed. Through the experimentation of fault diagnosis, we can conclude that this method of fault diagnosis is accurately, efficient and valuable.