摘要
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.
出处
《微计算机信息》
2010年第34期154-155,249,共3页
Control & Automation
关键词
旋转机械
裂纹
小波包分解
特征提取
Rotating Machinery
Cracks
Wavelet Packet Decomposition
Features Extraction