• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (4): 18-22.

• 论文 • 上一篇    下一篇

新的基于小波变换的振动信号消噪方法

彭志科;卢文秀;褚福磊   

  1. 清华大学精密仪器与机械学系
  • 发布日期:2006-04-15

NOVEL WAVELET BASED METHOD FOR VIBRATION SIGNAL NOISE CANCELLATION

PENG Zhike;LU Wenxiu;CHU Fulei   

  1. Department of Precision Instruments and Mechanology, Tsinghua University
  • Published:2006-04-15

摘要: 噪声消除是小波变换最成功的应用之一,其基本思想是将信号的小波变换系数与给定的门限比较,保留比门限大的系数,而将其他的置零,然后进行小波重构。这种小波变换消噪方法很可能将信号中一些有用的小能量分量当成噪声消除。根据旋转机械振动信号的循环平稳性特征,提出了一种新的基于小波变换的振动信号消噪方法,并用数字试验信号和碰摩试验振动信号对新消噪方法和Matlab提供的小波消噪方法的性能进行了比较测试。结果表明,在振动信号消噪方面,新方法相比传统的小波消噪方法有更好的性能,能够有效地抑制信号中处于各频段的噪声分量。

关键词: 离散小波变换, 旋转机械, 噪声消除, 振动信号

Abstract: Noise cancellation is one of the most successful applications of the wavelet transform. Its basic idea is to compare wavelet decomposition coefficients with the given thresholds and only keep those bigger ones and set those smaller ones to zero and then do wavelet reconstruction with those new coefficients. It is most likely for this method to treat some useful weak components as noise and eliminate them. Based on the cyclostationary property of vibration signals of rotating ma-chines, a novel wavelet based noise cancellation method is proposed. A numerical signal and an experimental signal of rubbing fault are used to test and compare the performances of the new method and the conventional wavelet based de-noising method provided by Matlab. The results show that the new noise cancellation method can efficaciously suppress the noise component at all frequency bands and has better de-noising performance than the conventional one.

Key words: Discrete wavelet transform, Noise cancellation, Vibration signal Rotating machine

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