摘要
由于内燃机的振动信号较复杂，用一般分类器来识别它的故障，不容易得到满意的效果。本文提出利用神经网络构成的分类器，对内燃机气门间隙进行识别，实验与计算机模拟，得到较满意的结果。
Bacause of complexity of the vibration signal of I.C.E,it is net easy to get a satisfactory result by idenifying its fault with a usuall classifier.This paper presents that a satisfactory result both in the experiment and in the computer simulation will be obtained if a new kind of classifierwith neural network for identification of valve clearance of i.C.E is used.
出处
《振动与冲击》
EI
CSCD
北大核心
1994年第4期23-26,共4页
Journal of Vibration and Shock
关键词
神经网络
内燃机气门间隙
识别
Neural network,Velve clearance of I.C.E,Identification.
