摘要
结合专家系统与模糊神经网络技术，通过对汽车发动机废气中ＨＣ，ＣＯ，ＣＯ２和Ｏ２含量的分析进行故障推理和诊断．首先由人工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。
Combined fuzzy neural network (FNN) with expert system (ES), the faults of engine were analyzed and diagnosed by analyzing the waste gas (HC, CO, CO2, O2). First, fault classification was realized by FNN . Then the explanation and the diagnostic results were given by ES . So the fast diagnostic was finished by this method .
基金
浙江省科委资助
关键词
人工神经网络
汽油发动机
故障诊断
专家系统
artificial neural network
gasoline engine
fault diagnostic
expert system
