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提升小波变换在振动信号去噪中的应用
引用本文:刘欣平,张杏娟,杨艳霞.提升小波变换在振动信号去噪中的应用[J].机械,2009,36(1):8-10.
作者姓名:刘欣平  张杏娟  杨艳霞
作者单位:华北电力大学,机械工程系,河北,保定,071003
基金项目:国家自然科学基金,河北省自然科学基金 
摘    要:振动信号存在不同形式的波形特征,传统小波去噪中,小波分解的结果与所采用的小波基函数有关,选用不适当的小波基函数会冲淡振动信号的局部特征信息,从而造成原始信号的部分有用信息丢失。为了克服上述缺陷,介绍了提升算法和基于该算法的小波变换快速算法,探讨了如何利用提升小波变换对信号进行去噪一通过对实际信号去噪处理.得出了提升小波算法能够较好地应用于信号去噪的结论。

关 键 词:提升算法  小波变换  信号去噪  预测算子

Wavelet transform based on lifting scheme and its application in signal de-noising
LIU Xin-ping,ZHANG Xing-juan,YANG Yan-xia.Wavelet transform based on lifting scheme and its application in signal de-noising[J].Machinery,2009,36(1):8-10.
Authors:LIU Xin-ping  ZHANG Xing-juan  YANG Yan-xia
Affiliation:Department of Mechanical Engineering;North China Electric Power University;Baoding 071003;China
Abstract:There are different characteristics of signal in fault vibrating signals of rotating machinery.In the de-noising of traditional wavelet transform,the result of wavelet decomposing is related with wavelet basis function.And the ill-suited wavelet for original signal can weaken the local characteristic of vibrating signal.In order to overcome mentioned limitation,the basis principle of lifting scheme and wavelet transform based on this are introduced in this paper,and present how to de-noise fault vibrating s...
Keywords:lifting scheme  wavelet transform  signal de-nosing  predicting operator  
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