【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。更多还原

【Abstract】 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.更多还原