基于BP神经网络的汽车发动机故障诊断方法研究

介绍了BP神经网络学习算法,建立了汽车发动机振动测试系统,在对发动机振动数据进行分析处理的基础上,获取了学习样本的输入向量与目标向量,应用BP网络学习算法对新构的网络进行训练,建立了一种发动机机械故障诊断的新方法,实例分析结果表明,这种新方法是可行的。

Fault Diagnosis Method Study for Automobile Engine Based on BP Neural Network

The BP Neural Network learning arithmetic was introduced and the automobile Engine vibration test system was established in the paper,by means of analysing and processing the engine vibration data,the input vector and the target vector of the learning sample was obtained,throngh appling the BP network learning arithmetic to train the new formation network,a new method of the engine mechanical fault diagnosis was established,and an example analytical result proved that the kind of new method was feasible.