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基于RBF神经网络的电喷发动机故障诊断研究
Automobile Electronic Fuel Injection Engine Fault Diagnosis Based on RBF Neural Network
【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.
【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.
【关键词】 RBF神经网络;
电喷发动机;
故障诊断;
Matlab6.1;
【Key words】 RBF(radial basis function); EFI engine; fault diagnosis; Matlab6.1;
【Key words】 RBF(radial basis function); EFI engine; fault diagnosis; Matlab6.1;
- 【文献出处】 机械与电子 ,Machinery & Electronics , 编辑部邮箱 ,2007年11期
- 【分类号】TK407
- 【被引频次】2
- 【下载频次】156