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The favorable localization features of discrete wavelet provide a new method for detecting the mutational points of electric spark signal. In this paper, by means of discrete wavelet function called db5, using the way of 6 scales wavelet, analyzing the gathered electric spark signal and by extracting the modulus maxima of the 6 layers detailed signal coefficient, the signal's mutational points were located exactly and successfully. In addition, via the modulus maxima to calculate Lipschitz index, measuring signal's singularity, the signal's mutational time was confirmed. The result of the simulation shows that this method can detect not only the time and size effectively if the ring fire happens but also the failure of the locomotive traction dc motor, timely and precisely. In this way, the operation safety of the train is ensured.

Research on Ring Fire Diagnosis of DC Motor Based on Discrete Wavelet Lipschitz Index