Application of Neural network model in insulating oil Fault Diagnosis

摘要

This paper introduced the practical value of artificial neural network in fault diagnosis field, respectively, applied the BP network, ELMAN network, RB F neural networks insulating oil fault diagnosis. Simulation results show that, in the transformer fault diagnosis , the results of using RBF neural network diagnostic were significantly better than the results of traditional BP network and the results of ELMAN network, furthermore, the training time is short, and response fast.