Use of the wavelet packet transform for pattern recognition in a structural health monitoring application

被引：19
|
作者：
Facchini, Gianluca [1 ]
Bernardini, Luca [1 ]
Atek, Sofiane [1 ]
Gaudenzi, Paolo [1 ]
机构：
[1] Univ Roma La Sapienza, Dept Mech & Aerosp Engn, I-00184 Rome, Italy
来源：
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES | 2015年 / 26卷 / 12期
关键词：
Structural health monitoring; wavelet packet transform; pattern recognition; Karhunen-Loeve transform; DAMAGE DETECTION; PLATES;
D O I：
10.1177/1045389X14544146
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the last decades, a huge effort has been dedicated to the development of vibration-based techniques for damage detection. In this article, an algorithm based on the wavelet packet transform and the Karhunen-Loeve transform is analysed to perform a pattern recognition application for the structural health monitoring purpose. In this article, the wavelet packet transform is used to decompose the signals coming from an accelerometer on a vibrating composite beam. The configuration of the beam has been changed and the wavelet packet transform was tested as a feature extraction tool. Then the Karhunen-Loeve transform was applied to the data to classify the different patterns and to test its capability of pattern recognition.
引用
收藏
页码：1513 / 1529
页数：17
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