结合小波包分析和能量谱分析方法 ,提出一种新的滚动轴承故障诊断方法。利用小波包对滚动轴承振动加速度信号进行分解 ,求出各频率段的能量 ,并以此作为滚动轴承发生故障的特征量对振动信号进行重构 ,比较正常信号和故障信号的差异 ,从而识别滚动轴承的故障。通过对于实测信号的分析证明该方法具有特征参量少、故障特征突出等优点 ,可有效地用于滚动轴承的故障诊断。 Combined with wavelet packet analysis and energy spectrum analysis, a new fault diagnosis method of rolling bearing is proposed. The wavelet packet is used to decompose the vibration acceleration signal of the rolling bearing to obtain the energy of each frequency band. The vibration signal is then reconstructed as the feature quantity of the rolling bearing failure, and the difference between the normal signal and the fault signal is compared to identify the fault of the rolling bearing . Through the analysis of measured signals, it is proved that the proposed method has the advantages of less characteristic parameters and outstanding fault characteristics, which can be effectively used in the fault diagnosis of rolling bearing.