噪声与振动控制

噪声与振动控制 ›› 2012, Vol. 32 ›› Issue (4): 150-152.DOI: 10.3969/j.issn.1006-1355.2012.04.033

• 6.信号处理与故障诊断 • 上一篇    下一篇

采用小波变换实现振动信号数据野点的剔除

吕唯唯，顾 亮，黄雪涛   

  1. （ 北京理工大学 机械与车辆工程学院， 北京 100081 ）
  • 收稿日期:2011-11-29 修回日期:2011-12-20 出版日期:2012-08-18 发布日期:2012-08-18
  • 通讯作者: 吕唯唯

A Method of Eliminating Outliers in Data Processing of Vibration Signal Based on Wavelet Transform

LV Wei-wei，GU Liang，HUANG Xue-tao   

  1. ( Machinery and Vehicle Engineering Institute, Beijing Institute of Technology, Beijing 100081, China )
  • Received:2011-11-29 Revised:2011-12-20 Online:2012-08-18 Published:2012-08-18

摘要： 在履带车辆振动信号数据处理中,野点的存在会产生虚假的谐频成分。利用小波变换将振动信号分解为近似分量和细节分量，利用莱特准则对细节分量进行野值判别,然后用加权系数法计算新的值替代含野值的细节分量，重构信号。试验数据处理结果表明，该方法能最大保留有用信号信息，实现野值剔除。

关键词: 振动与波, 小波变换, 野值, 履带车辆, 振动信号

Abstract: n tracked vehicle vibration signal data processing, the existence of outliers can produce false harmonic frequency components. By using wavelet transformation vibration signal is decomposed into approximate components and details components. With the Wright standards and the characteristics of outlier’s wavelet coefficients, outlier’s details components are replaced by new details components, which are calculated by weighting coefficient method. The outliers are removed and signal is reconstructed. Test data processing results show that the new method can maximum retain the useful signal information, realizing the outliers eliminate.

Key words: Ivibration and wave, wavelet transform, outliers, tracked vehicles, vibration signal

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