Fault Diagnosis of Rolling Bearing on the Basis of Wavelet Neural Network

被引：0
|
作者：
Lin, Wu Song [1 ]
Liu Jianxin [1 ]
Lili [1 ]
机构：
[1] XiJing Univ, Dept Postgrad, Xian 710123, Peoples R China
来源：
ADVANCED MATERIALS, MECHANICS AND INDUSTRIAL ENGINEERING | 2014年 / 598卷
关键词：
Fault diagnosis; neural network; wavelet analysis;
D O I：
10.4028/www.scientific.net/AMM.598.244
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, the feature vector of the roller bearing signals are extracted on the basis of wavelet analysis and a fault diagnosis experiment is carried through wavelet neural network in detail. The method and the theory of fault diagnosis based on BP neural network and the radial basis function neural network are studied and the results of diagnosis based on relax-type Neural-Networks and close-type Neural-Networks are compared.
引用
收藏
页码：244 / 249
页数：6
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