Application of PNN to Fault Diagnosis of IC Engine

摘要：

In order to simplify data stream of automobile diagnosing instruments, A fault diagnostic method for internal combustion(IC) engine based on probability neural network (PNN) was presented. At first a PNN model was established, and then based on the sample of Jetta ATK engine, the model was trained and simulated by a number of sample sets of symptoms and troubles. Simultaneously, the comparison has been done between PNN and backpropagation(BP) network.The simulation experimental results demonstrated that PNN model is more feasible and successful than BP network model and could make data stream of diagnosing instruments easier.

关键词： PNN BP network fault diagnosis IC engine data stream

作者: Du Danfeng Ma Yan Guo Xiurong

作者单位: College of Traffic Northeast Forestry University Harbin, Heilongjiang Province, China College of Mechanical and Electrical Engineering Northeast Forestry University Harbin,Heilongjiang P College of Mechanical and Electrical Engineering Northeast Forestry University Harbin, Heilongjiang

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1447-1450

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）