关键词: 轴承, 振动监测, 频谱分析, 故障诊断

Abstract: To improve the state anomaly discrimination and fault diagnosis ability of wind generator bearing,guarantee the reliable and stable operation,reduce the maintenance costs, the spectrum signal discriminated method of generator bearing vibration online condition monitoring technology was studied.The vibration data sample and characteristic frequency analysis were used to monitor the running state of the bearing.The bearing operation state was evaluated by analyzing the bearing vibration data,which provides the basis for the bearing failure prediction.

Key words: bearing, , vibration monitoring, , frequency analysis, , fault diagnosis