基于广义S变换的齿轮箱轴承故障诊断方法

齿轮箱轴承故障冲击信号通常具有非平稳和非线性的特点，若在强背景信号与噪声中，更加难以识别和提取。鉴于广义S变换具有良好的自适应性和时频聚集性，提出了一种基于广义S变换的齿轮箱滚动轴承故障诊断方法。对广义S变换的时窗函数进行讨论，分析了不同参数对调节窗函数宽度的影响；讨论了不同程度的轴承故障在广义S变换时频谱图上的能量分布；通过仿真和实验验证了所提方法的可行性。结果表明，广义S变换方法能有效地反映不同轴承故障的特征频率，为齿轮箱的轴承故障诊断提供一种有效的方法。

Fault Diagnosis Method of Gearbox Bearings Based on Generalized S-transform

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.