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Aming at the question that the second traveling wave head for the single terminal fault location is difficult to be identified,a new fault location method combined with wavelet modulus maxima and artificial neutral network(ANN) is put forward.The time lag of the first three wave heads and their polarity are selected as the characteristic of ANN to establish fault diagnosis model by using the nonlinear fitting ability of neural network to train and test samples.Make the fault information into the ANN model to get the initial result.According to the intial result and the polarity , time lag of the wave heads,identify the second traveling wave head and obtained the accurate fault distance.Matlab/Simulink simulation results show that the presented method is efficient in fault location and the accuracy is high.