神经网络和专家系统在汽车发动机故障诊断中的应用研究

Research on the application of neural network and expert system in the fault diagnosis of automobile engine

运用神经网络与专家系统两种人工智能技术,通过对汽车发动机废气中CO,HC,CO2和O2含量的分析进行故障推理和诊断。神经网络与专家系统主要采用串行连接,用神经网络模块进行故障分类,再经专家系统给出解释并进一步推理,得到具体的诊断结果,从而实现发动机常见故障的快速、准确和智能化诊断。

Utilizing two kinds of artificial intelligence technology i.e. neural network and expert system, the fault reasoning and diagnosis were carried out by means of analysis on the contents of CO, HC, CO2, 02 in the exhaust gas discharged form ear engine. The neural network and the expert system were linked mainly by series connection; the fault classification was carried out by module of neural network, and through the expert system to give out explanation and further reasoning so as to obtain the concrete diagnosis result, thus realized the rapid, accurate and intellectualized diagnosis on the common faults of engine.