滚动轴承是工业应用系统中的重要部件,其引发的故障是引起机器设备失效的重要原因。Hilbert变换基于滚动轴承故障引发的高频固有振动,提取包络信号。通过包络信号进行频谱分析从而提取滚动轴承的故障特征信息。通过采集内圈故障、外圈故障的滚动轴承振动信号,采用Hilbert变换对轴承的振动信号进行了分析,验证了Hilbert包络解调技术在滚动轴承故障诊断中的有效性。 Rolling bearing is an important part of industrial application system, the failure caused by it is the important reason that causes the equipment failure. Hilbert transform based on the rolling bearing fault caused by high-frequency natural vibration extraction envelope signal. Through the envelope signal spectrum analysis to extract rolling bearing fault feature information. By collecting vibration signals of rolling bearing with inner ring failure and outer ring failure, the vibration signal of bearing is analyzed by Hilbert transform, which verifies the effectiveness of Hilbert envelope demodulation in fault diagnosis of rolling bearings.