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

页码：1513 / 1529

页数：17

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