A Fault Diagnostic Method for EFI Engine Based on MATLAB Software Package

摘要：

At present, the diagnostic instruments used widely here and abroad is not entire, which can not diagnose the mechanical fault without fault code. In order to solve this problem, this paper presents a method for fault diagnosis of electronic fuel injection(EFI) engine using radial basis function(RBF) neural network. By connecting MATLAB software package and ACCESS database, a fault diagnosis program is set up and a fault without code can be found. Meanwhile, the comparison has been done between RBF network and back propagation(BP) network. The simulation experimental results show that the RBF model is more feasible and successful than BP model and makes fault diagnosis easier.

作者: Du Danfeng Guo Xiurong Guan Qiang

作者单位: Northeast Forestry University, Harbin, Heilongjiang Province, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 2161-2165

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）