Wear Fault Diagnosis of Machinery Based on Neural Networks and Gray Relationships

被引：2
|
作者：
CHEN Chang zheng
机构：
来源：
International Journal of Plant Engineering and Management | 2001年 / 03期
关键词：
wear particles identification; fault diagnosis; neural networks; gray relationship;
D O I：
10.13434/j.cnki.1007-4546.2001.03.009
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
摘要：
In this paper, the regular characteristic of wear particles related to fault type of machines based on condition monitoring of reciprocal machinery is discussed. The typical wear particles spectrum is established according to the equipment structure, friction and wear rule and the characteristic of wear particles; The identification technology of wear particles is proposed based on neural networks and a gray relationship; an intelligent wear particles identification system is designed. The diagnosis example shows that this system can promote the accuracy and the speed of wear particles identification.
引用
收藏
页码：164 / 169
页数：6
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