Wavelet analysis of acoustic emission signals in boring

被引：13

作者：

Li, X

Wu, J

机构：

[1] Harbin Inst Technol, Inst Precis Engn, Harbin 150006, Peoples R China

[2] Natl Univ Def Technol, Dept Aerosp Engn, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE | 2000年 / 214卷 / 05期

关键词：

acoustic emission; tool wear; wavelet packet transforms;

D O I：

10.1243/0954405001518206

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Using acoustic emission (AE) signals to monitor tool wear states is one of the most effective methods used in metal cutting processes. As AE signals contain information on cutting processes, the problem of how to extract the features related to tool wear states from these signals needs to be solved. In this paper, a wavelet packet transform (WPT) method is used to decompose continuous AE signals during cutting; then the features related to tool wear states are extracted from decomposed AE signals. Experimental results verified the feasibility of using the WPT method to extract features related to tool wear states in boring.

引用

页码：421 / 424

页数：4