基于卷积型小波包变换的切削力信号消噪  

Denoise of Cutting Force Signal Based on Convolution Wavelet Packet Transformation

作　　者：邹春华 赵学智[2] 叶邦彦[2] 

机构地区：[1]广州(从化)亨龙机电制造实业有限公司,广东省从化市510990 [2]华南理工大学

出　　处：《工具技术》2008年第3期82-84,共3页Tool Engineering

基　　金：国家自然科学基金资助项目(项目编号:No.50305005)

摘　　要：为了消除切削力信号中的随机噪声干扰,本文提出了一种基于卷积型小波包变换的消噪算法,给出了算法的详细步骤。对两个切削力信号的消噪实例结果表明:随机噪声已完全被去除,获得了准确的力信号。In order to erase the disturbance of random noise in cutting force signal, a denoising algorithm based on the convolution wavelet packet transformation is put forward and the detail step of algorithm is given. The processing results of two cutting force signals show that the random noise is completely erased and the accurate force signals are obtained.

关 键 词：卷积型小波包 切削力信号 消噪 

分 类 号：TG71[金属学及工艺—刀具与模具] TN911.7[电子电信—通信与信息系统]