小波包算法在滚动轴承的在线故障诊断中的应用

Wavelet Packet Analysis and Fault Diagnosis of the Rolling Bearigns

对小波变换的理论进行了简要的阐述，并介绍了小波包理论。指出了在强噪声的背景下小波包变换的算法对于瞬态信号提取的有效性，表明了小波包变换对信号的去噪声，滤波等方面具有广泛的前景。并以五套６３０７号轴承为例进行了诊断，结果与实际情况相一致，说明该算法十分适合于滚动轴承的在线监测与故障诊断。

This paper firstly introduces the principle of wavelet transform and the relationship between the wavelet function and scale function.The wavelet transform and signal decomposition are given. Furthermore it takes advantage of the wavelet packet to analyze several groups of the rolling bearings. The result shows the wavelet packet is a more efficient method in comparision with other traditional signal analysis methods.