摘要
在小波包降噪的基础上,提出了一种对小波包降噪后的残差信号进行频谱分析和统计分析的新方法,该方法首先对原始振动信号进行小波包降噪,然后根据降噪后的振动信号和原始振动相比的差值提取残差信号,最后通过对残差信号进行频谱分析提取产生噪声信号的特征频率,通过对残差信号的统计量分析判断设备运行状况。实例验证了小波包降噪和小波包降噪后残差统计分析的正确性。
A new residual signal spectrum analysis and statistics analysis method is proposed after wavelet packet denosing. Firstly, the original vibration signal is deomposed by wavelet packet theory, and the residual signal is extracted between the denoised vibration signal and the original vibration signal. Finally, the characteristic frequency of fault signal is extracted by residual signal spectrum analysis, and the machine running state is judged by residual signal statistics analysis.
出处
《声学技术》
CSCD
北大核心
2008年第3期381-385,共5页
Technical Acoustics
关键词
小波包分析
降噪
减速机
残差信号
故障诊断
wavelet packet analysis
de-noising
speed reducer
residual signal
fault diagnosis
