Application of Wavelet Neural Network to Fault Diagnosis of Power System

被引：0
|
作者：
Hu Jian [1 ]
Hu Fanjun [1 ]
机构：
[1] First Aeronaut Inst Air Force, Xinyang 464000, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷
关键词：
application; neural network; fault diagnosis; power system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on analyzing the incompleteness and uncertainty of information existing in power system fault diagnosis, a new fault diagnosis method based on wavelet transform and neural network is proposed. The wavelet transform is used to pre-process data and extract feature vectors. The neural network is used to identify fault types. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.
引用
收藏
页码：2283 / 2288
页数：6
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