Analysis of acoustic emission signals in machining

被引：0

作者：

Bukkapatnam, STS ^{[1
]}

Kumara, SRT ^{[1
]}

Lakhtakia, A ^{[1
]}

机构：

[1] Penn State Univ, Dept Ind & Mfg Engn, University Pk, PA 16802 USA

来源：

6TH INDUSTRIAL ENGINEERING RESEARCH CONFERENCE PROCEEDINGS: (IERC) | 1997年

关键词：

acoustic emission; chaos theory; wavelet packets; tool wear;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, we present st novel approach, combining chaos theory with wavelets, for Acoustic Emission (AE) signal analysis. We perform thorough characterization of AE signals collected from extensive experimentation on the turning process and develop time-frequency representation-called Suboptimal Wavelet Packets (SWP)-to compactly model AE signals. We use the features extracted from SWP representation for on-line flank wear estimation. The results show that the developed techniques perform better than the existing analytical methods for AE signal representation and AE signal based state estimation.

引用

页码：450 / 455

页数：6