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基于小波包变换的减速机降噪方法研究
引用本文:任学平,马文生,宋小龙,杨文志,苏凤歧.基于小波包变换的减速机降噪方法研究[J].声学技术,2008,27(3):381-385.
作者姓名:任学平  马文生  宋小龙  杨文志  苏凤歧
作者单位:内蒙古科技大学机械工程学院,包头,014010
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。

关 键 词:小波包分析  降噪  减速机  残差信号  故障诊断
收稿时间:2008/1/9 0:00:00
修稿时间:2008/2/28 0:00:00

Denoising method study in speed reducer on wavelet packet transform
REN Xue-ping,MA Wen-sheng,SONG Xiao-long,YANG Wen-zhi and SU Feng-qi.Denoising method study in speed reducer on wavelet packet transform[J].Technical Acoustics,2008,27(3):381-385.
Authors:REN Xue-ping  MA Wen-sheng  SONG Xiao-long  YANG Wen-zhi and SU Feng-qi
Affiliation:(Mechanical Engineering School, Inner Mongolia University of Science and Technology, Baotou 014010, China)
Abstract: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.
Keywords:wavelet packet analysis  de-noising  speed reducer  residual signal  fault diagnosis
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