The fault diagnosis of transformer Based on the SOM neural network

被引：5
|
作者：
Yang Cunxiang [1 ]
Bao Hao [1 ]
机构：
[1] Zhengzhou Univ Light Ind, Zhengzhou 450002, Peoples R China
来源：
2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2013) | 2013年
关键词：
Wind power generator; Converter fault diagnosis; BP neural network; SOM neural network;
D O I：
10.1109/ICMTMA.2013.289
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
There are so many fault types of the Wind turbine converter, in order to improve accuracy of its recognition and diagnosis, the BP neural networks require large samples for this problem of improving BP algorithm-SOM neural network algorithm is introduced. The results indicate that this method for the wind turbine converter fault diagnosis can achieve better effect. It has the certain application value.
引用
收藏
页码：1178 / 1180
页数：3
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