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
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;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
DOI :
10.1109/ICMTMA.2013.289
