人工神经网络在汽车故障诊断中的应用

Artificial Network Applied to Auto Failure Diagnosis

针对传统汽车故障诊断存在的问题，提出了应用人工神经网络进行汽车故障诊断的新方法，在介绍神经网络基本原理和方法的基础上，以ＢＰ网络构造离合器故障诊断实例模型，经过模拟试验，证明了本方法的有效性和合理性。

To deal with the problems of traditional auto failure diagnosis,a newmethod diagnosing auto failure with artificial neural network is presented.Based on thetheory and principle of neural network,the practical model diagnosing clutch failure isconstructed by BP network.Simulated tests have proven its validity and feasibility.