Application of Fuzzy Neural Network in Fault Diagnosis of Gasoline Engine

摘要：

Research on the good and bad points of Fuzzy Theory and Neural Network Technology in Fault Diagnosis. Combine them in this paper with the method connected. Firstly using fuzzy method to process the information, and then diagnosis of the faults with Neural networks approaching ability. Construct inference system to solve complicated faults happened in gasoline engine with this method. The results of Matlab simulation show the that this method results has the high precision. It has the great improvement than only use fuzzy logic or neural network method.

关键词： Fuzzy Measurement Neural network Fault diagnosis

作者: Pan Lian TongYao bin Ning Ning Chen aiping

作者单位: College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan,430081,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3830-3833

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）