关键词: 齿轮箱, 广义S变换, 故障诊断, 滚动轴承

Abstract: The signals of gear box bearing faults usually were nonstationary and nonlinear. It might be more difficult to identify and extract in the strong background signals and noises. Based on the unique features and the timefrequency concentration of the generalized S-transform, a rolling bearing fault diagnosis method was proposed based on generalized S-transform. Window function in the generalized S-transform was discussed, and the influences of different parameters in adjusting the width of window function were analyzed, and the different energy distributions of bearing faults were discussed in timefrequency spectrum by generalized S-transform. Finally, the proposed method was validated by simulation analyses and the experiments of rolling bearings. The results show that the proposed method may accurately reveal the rolling bearing fault features frequency, and provides an effective method for gear box bearing fault diagnosis.

Key words: gear box, generalized S-transform;fault diagnosis, rolling bearing