Time-frequency analysis is an important method for extracting bearing fault diagnosis, and it is difficult to extract transient fault features under strong background noise. To address this problem, a bearing fault diagnosis method based on Teager-Kaiser energy operator(TKEO) and synchroextracting transform(SET) is proposed to improve the concentration of the energy of time-frequency analysis of SET. The method firstly extracts the TKEO processing of the collected bearing vibration signal to highlight the impact component of the bearing fault vibration signal; then, the processed signal is subjected to SET analysis, and the time-frequency coefficients of the time-frequency ridges are extracted by the synchroextracting operator(SEO) to realize the extraction of transient fault features; finally, the feasibility of the method is verified by analyzing the simulated signal and the measured signal. The experimental results show that the method can effectively extract the fault characteristics of the bearing, and the analysis results have certain superiority compared with the previous time-frequency analysis methods.