基于小波包能量分解方法的裂纹故障特征分析

The Features Extraction of Cracks Based on Wavelet Packet Energy Decomposition Method

应用小波包分解对信号的高低频部分进行细化并能够保留信号的时域特征,具有良好的时频局部特性,将采集到的裂纹振动信号,通过选取适当的频段进行重构,应用能量的方法提取故障信号的频域特征,从而实现故障的诊断。

Using wavelet packet decomposition to analysis High-low frequency portion of the signal,keeping the characteristics in time-domain,has good time-frequency localization characteristics.Reconstruct the collected vibration signal of the crack by using fit Band.Extract frequency-domain characteristics of fault signals using energy decomposition method.