Paper Title:
Optimization of Wavelet Packets Analysis for Damage Detection in Composite Materials
  Abstract

A method based on entropy-based criteria is present to choose the optimal decomposition of Wavelet Packets Analysis (WPA) for damage detection in composite materials. The structural damage indexes constructed based on energy spectrum variation of the structural vibration responses decomposed using WPA before and after the occurrence of structural damage usually generate a complete binary tree to calculate its elements. Date mining is carried out in this paper by adoption entropy as the criteria to choose the optimal decomposition tree. In the decomposition process, only the sub-signals which contain main information of the original signal are decomposed to generate next level sub-signals. New damage index is constructed based on the optimal decomposition. Then the dimension of the damage index is reduced while still keeping its sensitive to damage. Whether Artificial Neural Network (ANN) or genetic algorithm (GA) is used in the further process of telling structural damage status from damage index, this reduction will make remarkable time saving.

  Info
Periodical
Key Engineering Materials (Volumes 334-335)
Edited by
J.K. Kim, D.Z. Wo, L.M. Zhou, H.T. Huang, K.T. Lau and M. Wang
Pages
1149-1152
DOI
10.4028/www.scientific.net/KEM.334-335.1149
Citation
L. Yu, Y. J. Yan, J. S. Jiang, L. Cheng, "Optimization of Wavelet Packets Analysis for Damage Detection in Composite Materials", Key Engineering Materials, Vols. 334-335, pp. 1149-1152, 2007
Online since
March 2007
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Huan Guo Chen, Yun Ju Yan, Jie Sheng Jiang
Abstract:A vibration-based approach to detect crack damage in a cantilever composite wingbox is studied using the improved Hilbert-Huang Transform...
539
Authors: Xiao Ma Dong
Abstract:In recent years, there were been increasing researches focusing on the application of artificial neural networks in structural damage...
642
Authors: Peng Sun, Ai Qun Li, You Liang Ding, Yang Deng
Abstract:The damage alarming analysis based on wavelet packet energy spectrum is performed with regard to the experimental data of Benchmark steel...
2693
Authors: Chen Ning Cai, Gang Yan
Chapter 16: Control and Information. Computer in Engineering Research and Design
Abstract:This paper presents a genetic algorithm (GA)-based approach for localizing damage in plate-like structure. Diagnostic Lamb wave is excited...
2579
Authors: Jian Qiang Wang, Long Yu, Yu Zhang
Chapter 4: Advanced Applications of Electrical Engineering Development
Abstract:Rapid detecting structural damage by lamb wave is an emerging technology in the field of structural health monitoring, and damage signal...
121