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基于RBF神经网络的电喷发动机故障诊断研究
引用本文:傅晓林,邓日青. 基于RBF神经网络的电喷发动机故障诊断研究[J]. 机械与电子, 2007, 0(11): 77-80
作者姓名:傅晓林  邓日青
作者单位:重庆交通大学机电学院,重庆,400074
摘    要:研究了RBF神经网络用于电喷发动机故障诊断的方法,并建立了神经网络故障诊断模型.最后,以桑塔纳2000型(GSI)轿车AJR型发动机怠速不稳故障为例,通过V.A.G1552汽车故障诊断仪测量出所需的数据流,在Matlab环境下,对电喷发动机怠速不稳的2种故障原因进行故障模式识别和诊断.

关 键 词:RBF神经网络  电喷发动机  故障诊断  Matlab6.1  神经网络  电喷发动机  发动机故障  诊断研究  RBF Neural Network  Based  Fault Diagnosis  Engine  Fuel Injection  Electronic  模式识别  故障原因  环境  Matlab  数据流  测量  故障诊断仪  汽车  怠速不稳  轿车
文章编号:1001-2257(2007)11-0077-04
修稿时间:2007-06-07

Automobile Electronic Fuel Injection Engine Fault Diagnosis Based on RBF Neural Network
FU Xiao-lin,DENG Ri-qing. Automobile Electronic Fuel Injection Engine Fault Diagnosis Based on RBF Neural Network[J]. Machinery & Electronics, 2007, 0(11): 77-80
Authors:FU Xiao-lin  DENG Ri-qing
Affiliation:School of Transportation,Chongqing Jiaotong University,Chongqing 400074,China
Abstract:The method was investigated about RBF neural network application to electronic fuel injection(EFI) engine diagnosis.Furthermore,the model of RBF neural network was also built.At last,taking the unstable idle speed of AJR engine of Santana 2000 as example,the data needed is tested and read with V.A.G1552.With the help of MATLAB,the fault diagnosis approach on the RBF neural network performs the fault pattern recognition and the diagnosis.
Keywords:RBF(radial basis function)  EFI engine  fault diagnosis  Matlab6.1
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