DocumentCode
1891078
Title
The Fault Diagnosis of Transformer Based on the SOM Neural Network Current
Author
Yang Cunxiang ; Bao Hao
Author_Institution
Zhengzhou Univ. of Light Ind., Zhengzhou, China
fYear
2013
fDate
16-17 Jan. 2013
Firstpage
1178
Lastpage
1180
Abstract
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.
Keywords
backpropagation; fault diagnosis; neural nets; power convertors; power transformers; wind turbines; BP algorithm; BP neural networks; SOM neural network current; fault diagnosis; fault types; transformer; wind turbine converter; Automation; Mechatronics; BP neural network; Converter fault diagnosis; SOM neural network; Wind power generator;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5652-7
Type
conf
DOI
10.1109/ICMTMA.2013.289
Filename
6493942
Link To Document