基于神经网络的汽油发动机的故障诊断专家系统初探

阐述了故障诊断专家系统的组成,提出了一种基于神经网络的汽油发动机的故障诊断专家系统.该系统诊断的特点是先用故障树建立诊断的专家系统,即诊断树,然后从故障树中提练出训练样本,结合人工神经网络的自学习功能,从不同角度和不同层次进行诊断推理.结果表明,该系统提高了系统的诊断效率,克服了传统专家系统的一些不足.该系统结合面向对象的VB为开发工具,具有较好的可视性和操作性.

Fault Diagnosis Expert System of auto Engines Based on Artificial Neural Networks and Expert System

This paper describes the composing of Fault Diagnosis Expert System of auto engine. A model for fault diagnosis expert system, based on artificial neural network and expert system, is proposed. Firstly, we build a diagnosis tree, which is based on a fault tree to build an expert system for Diagnosis, then, get training samples from the fault tree and combine the self-study function of ANN to analyze and diagnose faults from different aspects and layers by several different ways to improve the efficiency of system diagnose, overcome the disadvantage of traditional Fault Diagnosis Expert System. This system takes the VB as a developing tool. It's well operated and visible.