电控发动机尾气检测与故障诊断的研究

Research of Exhausting Gas Measure and Fault Diagnosis of Electrical Control Engine

为寻求根据汽车尾气参数来诊断汽车故障的方法,利用径向基函数(RBF)神经网络,对丰田雷克萨斯(LEXUS)400电控发动机进行故障诊断研究。研究结果表明,径向基函数神经网络对发动机故障的诊断是迅速、准确的。

In the thesis,the study on the fault diagnosis of the Toyota Lexus 400 electrical control engine was conducted by adopting the radial basis function （RBF） neural network to seek the way to diagnose automobile faults by automobile exhausting gas. The research result indicated that the RBF neural network is rapid and exact for fault diagnosis of electrical control egine.