Title :
Transformer failure diagnosis based on BP neural network
Author :
Zhang Yongtao ; Wang Yajuan ; Zhao Yanjun ; Wu Lan ; Zhen Pengjie
Author_Institution :
Coll. of Electr. Eng., Hebei United Univ., Tangshan, China
Abstract :
A BP network model for transformer fault diagnosis is established based on the MATLAB environment in this paper. A large number of data samples are collected and tested, L_M algorithm is used for training samples and simulation in network model. The actual output is gained and made comparative study with the expected output. Finally, it confirms that this network model has a high accuracy and can be used for transformer fault diagnosis.
Keywords :
backpropagation; fault diagnosis; mathematics computing; neural nets; BP neural network; L_M algorithm; MATLAB environment; data samples; transformer failure diagnosis; Biological neural networks; Educational institutions; Fault diagnosis; MATLAB; Mathematical model; Neurons; Training; BP neural network; MATLAB simulation; artificial Intelligence; failure diagnosis; transformer;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025743
