滚动轴承是保证机械正常运转的重要零件,经常由于负荷过重、润滑不良、装配不当或撞击等原因发生故障和失效。一般情况下,轴承的失效可归结为磨损、压痕、胶合、疲劳失效和保持架散架等故障形式。目前,滚动轴承故障信号的分析方法主要有频谱分析法、共振解调法和自回归谱法等。 Rolling bearing is to ensure the normal operation of machinery important parts, often due to overloading, poor lubrication, improper assembly or impact and other reasons failure and failure. Under normal circumstances, the failure of bearings can be attributed to wear and tear, indentation, gluing, fatigue failure and cage disintegration and other failure forms. At present, the rolling bearing fault signal analysis methods are spectrum analysis, resonance demodulation and autoregression spectral method.