[1]叶大鹏,何聪惠.振动攻丝扭矩信号处理中应用小波包消噪[J].华侨大学学报(自然科学版),2004,25(2):176-179.[doi:10.3969/j.issn.1000-5013.2004.02.017]
　Ye Dapeng,He Conghui.Application of Wavelet Pocket to Noise-Killing in Processing Torque Signal during Vibration Tapping[J].Journal of Huaqiao University(Natural Science),2004,25(2):176-179.[doi:10.3969/j.issn.1000-5013.2004.02.017]
点击复制

振动攻丝扭矩信号处理中应用小波包消噪()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第25卷
期数:
2004年第2期
页码:
176-179
栏目:
出版日期:
2004-04-20

文章信息/Info

Title:
Application of Wavelet Pocket to Noise-Killing in Processing Torque Signal during Vibration Tapping
文章编号:
1000-5013(2004)02-0176-04
作者:
叶大鹏; 何聪惠
福建农林大学机电工程学院; 福建农林大学机电工程学院 福建福州350002; 福建福州350002
Author(s):
Ye Dapeng;  He Conghui
College of Electromech. Eng., Fujian Agriculture & Forestry Univ., 350002, Fuzhou, China
关键词:
振动攻丝;  振动切削;  小波包分析;  消噪
Keywords:
vibration tapping;  vibration cutting;  wavelet pocket analysis;  denoise
分类号:
TG943
DOI:
10.3969/j.issn.1000-5013.2004.02.017
文献标志码:
A
摘要:
简述小波包分析的基本理论及其主要算法 .讨论用该理论进行信号消噪的基本原理,并应用于振动攻丝扭矩的信号处理 .通过对所采样的扭矩信号进行小波包分解,获得信号精细的低频和高频两个部分 .利用阈值量化处理的方法去除噪声,再将剩余部分进行重构,从而达到消噪声的目的 .实验结果表明,该方法能够有效地消除采样信号中的噪声,进而提高扭矩值的计算精度 .
Abstract:
Beginning with the basic theory and the main algorithm of wavelet pocket analysis, the authors discuss the basic principle of using this theory to signal denoising; and apply it to torque signal processing during vibration tapping. With regard to the fineness of signals, the part of low frequency and the part of high frequency as two parts are obtained through decomposing sampled torque signals with wavelet pocket. After denoising by applying quantized processing of threshold value, the rest are reconstructed and the objective of denoising is attained. Experimental results show that the method is able to kill the noise effectively in sampled signals and then to improve the computational accuracy of torque value.

参考文献/References:

[1] Zhang Deyuan, Chen Dingchang. Relief-face friction in vibration tapping [J]. International Journal of Mechanical Sciences, 1998, (12):1209-1222.
[2] Burrus CS, Gopinath R A, Guo H. Introduction to wavelets and wavelet transforms: A primer [M]. Upper Saddle River N. J:Prentice-Hall, 1998.221-300.
[3] Cohen I, Raz S, Malah D. Orthonormal and shift-invariant wavelet packet decomposition [J]. Signal Processing, 1997, (3):251-270.doi:10.1016/S0165-1684(97)00007-8.
[4] 叶大鹏, 何聪惠. 小波分析在振动攻丝扭矩信号滤波中的应用 [J]. 福建农业大学学报(自然科学版), 2001(3):408-411.doi:10.3321/j.issn:1671-5470.2001.03.027.
[5] Mallat S. A theory for multi-resolution signal de-composition : The wavelet representation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989(7):674-693.
[6] 叶大鹏. 激励参数对振动攻丝扭矩影响规律的研究 [D]. 福州:福建农林大学, 1999.35-36.
[7] Coifman R R, Wickerhauser M V. Entropy-based algorithms for best basis selection [J]. IEEE Transactions on Information theory, 1992.713-718.

备注/Memo

备注/Memo:
福建省自然科学基金资助项目(E94002)
更新日期/Last Update: 2014-03-23