小波分析在滚动轴承状态监测振动信号分析中的应用

The application of wavelet analysis in the vibration signals of rolling bearing condition monitoring

通过分析用于滚动轴承状态监测的共振解调技术 ,发现由于滚动轴承不同元件的故障特征频率不同 ,因此用共振解调技术对滚动轴承进行状态监测时就需要具有不同中心频率的带通滤波器 ,使得检测线路及设备过于复杂。而小波分析技术仅通过采用不同的尺度因子 ,即可实现具有不同中心频率和带宽的带通滤波器 ,可以对振动信号在不同的频率范围内进行分析 ,刚好可以弥补上述方法的不足。文中给出了用小波分析技术对滚动轴承状态监测所得振动信号进行分析的一个例子。

The characteristic of demodulated resonance technique used in condition monitoring of rolling bearing was reviewed.It was found that the band elimination suppression filter having different center frequency for different failure diagnostic frequency of different element was needed.This make the testing circuit and equipment sophisticated.Wavelet analysis,however,can get band elimination suppression filter.having different center frequency and frequency bandwidth by adopting different frequency factor.This can overcome the shortcoming of demodulated resonance technique.In this paper one example was provided that applying wavelet analysis technique to analyze the vibration signals of rolling bearing condition monitoring.