Motor Fault Diagnosis based on wavelet neural network

被引：2
|
作者：
Ying, Xu Li [1 ]
Lan, Wang Nan [2 ]
机构：
[1] Changsha Univ Sci & Technol, Changsha, Hunan, Peoples R China
[2] Hunan Univ Arts & Sci, Changsha 410082, Hunan, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年
关键词：
motor fault diagnosis; wavelet function; neural network;
D O I：
10.1109/ICICTA.2009.368
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Motor fault diagnosis is important in industrial and agricultural production. Many methods have been employed to solve this problem. A novel method for motor fault diagnosis is proposed in this paper, which adopts the wavelet neural network and applies improved genetic algorithm to optimize the initial parameters of wavelet neural network. The results of training and testing show that the method is effective and available
引用
收藏
页码：553 / +
页数：2
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