Fault Diagnosis of Frequency Converter in Wind Power System Based on SOM Neural Network

被引：20
|
作者：
You, Xiangyang [1 ]
Zhang, Weijuan [1 ]
机构：
[1] Sanmenxia Polytech, Elect Engn Dept, Sanmenxia, Peoples R China
来源：
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷
关键词：
Wind Power; Fault Diagnosis; Frequency Converter; SOM Neural Network;
D O I：
10.1016/j.proeng.2012.01.453
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper a fault diagnosis system of wind turbine's converter is studied by using the self-organizing feature map neural network. The fault sets, fault symptoms and fault feature data are summarized. Experiments for network training and simulation are carried out by neural network toolbox of MATLAB. Experimental result indicates that this method can effectively diagnose the fault of frequency converter in wind power system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology
引用
收藏
页码：3132 / 3136
页数：5
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