Abstract:Based on the unique features of the generalized S transform (GST), ie. GST has good selfadaptivity, inherits all the advantages of short time Fourier transform, wavelet transform and standard S transform, and makes up for their shortcomings. A rolling bearing fault diagnosis method based on generalized S transform was proposed. The proposed method was compared with the traditional timefrequency distribution method such as short time Fourier transform, WignerVille distribution, wavelet and standard S transform. The simulation results show that the generalized S transform has obvious advantage, can be flexibly adjust the parameters adaptively to adjust the width of window function in order to achieve the optimum frequency resolution. Finally, the experiment of rolling beraing further validates the effectiveness of the proposed method. The proposed method can accurately reveal the rolling bearing fault features frequency.