Wavelet signal processing of Acoustic Emission data

被引：9
|
作者：
Staszewski, WJ
Holford, KM
机构：
[1] Univ Sheffield, Dept Mech Engn, Dynam Res Grp, Sheffield S1 3JD, S Yorkshire, England
[2] Cardiff Univ, Div Mech Engn & Energy Studies, Control & Dynam Res Grp, Cardiff CF2 3TA, S Glam, Wales
来源：
DAMAGE ASSESSMENT OF STRUCTURES | 2001年 / 204-2卷
关键词：
Acoustic Emission; damage detection; wavelets; principal component analysis;
D O I：
10.4028/www.scientific.net/KEM.204-205.351
中图分类号：
TQ174 [陶瓷工业]; TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
This paper reports the application of wavelet signal processing of Acoustic Emission data. The study is based on orthogonal Daubechies wavelets. The focus of the analysis is on feature/dimension reduction and cluster analysis. The parameters based on orthogonal wavelet coefficients are used to cluster the data. This approach is presented using the Acoustic Emission data generated from the box girder of a bridge.
引用
收藏
页码：351 / 358
页数：8
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