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In order to extract gear fault features effectively, a mode based on maximum correlated kurtosis deconvolution (MCKD)and mathematical morphological filtering is proposed. Firstly, the periodic fault features in the signal are recovered by MCKD and the noise of the signal is reduced. Then the morphological difference filter is used to filter the deconvolution signal to enhance the impact characteristics in the signal, and to get the envelope signal. Finally, the envelope spectrum of the filtering results is obtained to extract the fault features. The analysis of broken tooth of gear fault data shows that the method can extraction of gear fault features effectively.