摘要
研究了基于小波包分析的阈值除噪的基本方法,并介绍了几种除噪阈限。利用小波包阈值除噪良好的时频局部化特性滤除信号中大量的噪声。通过对通风机振动信号的除噪和特征提取研究,取得了良好效果,说明小波包阈值除噪方法非常适合于信号的预处理和故障特征提取。
The basic method of threshold denoising, based on wavelet packet analysis was studied, and several thresholds were also introduced. Plenty of noises was denoised by the wavelet packet threshold denoising with local feature well in time - frequency domain. Through the study of denoising and feature exaction of fan vibration signal, the good result can be get. It shows that the method of wavelet packet and threshold denoising is very suitable for signal pretreatment and fault feature exaction.
出处
《煤矿机械》
北大核心
2006年第11期33-34,共2页
Coal Mine Machinery
基金
河南理工大学青年基金资助项目(646126)
关键词
小波包分析
阈值除噪
特征提取
wavelet packet analysis
threshold denoising
feature exaction
