小波分析可同时从时域和频域两个方面对信号进行分析，结合包络分析十分适合滚动轴承的故障特征提取；基于双通道的全矢小波分析方法不仅对单通道小波分析方法具有兼容性，而且弥补了传统的基于单通道信

息进行旋转机械故障特征提取造成的信息量不完整、易导致误诊的弊端。结果表明，在针对滚动轴承外圈故障特征提取时，全矢小波分析方法较小波一包络分析方法具有一定的优势。 -Wavelet analysis simultaneously from the time domain and frequency domain analysis of two aspects of the signal, combined envelope analysis is very suitable for roller bearing fault feature extraction　based on a dual-channel full vector wavelet analysis method is not only right channel wavelet analysis method has compatibility, And make up the traditional channel-based information extraction rotating machinery fault caused by the amount of information is not complete, easily lead to misdiagnosis of the state. The results show that for the outer bearing fault feature extraction, wavelet analysis method full vector wave a smaller envelope analysis method has certain advantages.