Power Transformer Fault Diagnosis Based on Radial Basis Function Network
Lei Ji · Jiangsu Electrical Engineering · 2005
In this paper,the model structure and the application of radial basis function neural network for fault diagnosis of power transformer is presented.By means of simulation test,the performances of RBF neural network and BP neural network are compared.The simulation result shows that the training rate and approaching error of the RBF neural network is higher and less respectively than those of the BP neural network.The RBF neural network is more effective for fault diagnosis.