摘要
本文针对发动机电子点火系统的五种常见故障,借助发动机综合分析仪测得次级点火波形,并提取特征值,构造了一种模糊神经网络模型,利用MATLAB进行仿真,通过简单测试,得出这种方法是可行的,可以准确快速的诊断出故障原因。
In this paper,fuzzy neural network model was constructed for five kinds of common faults of engine electronic ignition system,with the aid of Engine analyzer to measure the Ignition secondary waveform and extract characteristic value.By simulation of MATLAB and simple tests,it demonstrated that the method was feasible and can be used to diagnosticate causes of malfunction accurately and rapidly.
出处
《汽车科技》
2011年第3期47-50,共4页
Auto Sci-Tech
关键词
模糊神经网络
故障诊断
汽油发动机
次级点火波形
fuzzy neural network
fault diagnosis
gasoline engine
ignition secondary waveform
