电控柴油机在线实时故障诊断方法研究

An Approach to the Method of On-line and Real-time Fault Diagnosis for Electronic-controlled Diesel Engins

在线实时故障诊断具有直接实时准确等优点但电控柴油机的特点使得传统故障诊断方法已不能满足在线实时故障诊断的要求本文在分析各种故障诊断方法的基础上得出神经网络是电控柴油机在线实时故障诊断的一条新的途径并阐述了神经网络进行故障诊断的机会

The advantages of the on-line and real-time fault diagnosis system and the special features of an electronic-controlled diesel engine are discussed. Based on comparative analysis of different diagnosis methods, conclusion has beendrawn that the neural net is a new method, practical and effective, for on-line real-time fault diagnosis of electronic diesels.Meanwhile, the principles of the neural net for use in fault diagnosis is expounded.