Transformer failure diagnosis based on BP neural network

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.