This method uses artificial neural network (ANN) to realize substation fault diagnosis, which makes full use of the strong learning ability and high fault tolerance of artificial neural network to realize the diagnosis of substation fault components. The simulation results show that this method can not only accurately diagnose the faulty components when the protection and switch operate correctly, but also effectively diagnose the faulty components when the protection or switch rejects the leapfrog fault.