By means of db5 wavelet

fault arc signal is decomposed into four layers

energy spectrum fault frequency band is extracted as characteristic quantity

establish BP neural network. Optimize BP neural network by particle swarm optimization（ PSO） algorithm

so as to fastly and accurately fit fault arc characteristic quantity

fault arc is predicted by trained neural network

achieve good recognition effect

verify effectiveness of fault arc recognition method.