Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13246
Title: Optimization of wavelet packets analysis for damage detection in composite materials
Authors: Yu, L
Yan, Y
Jiang, J
Cheng, L 
Keywords: Damage detection
Optimization
Wavelet packets analysis
Issue Date: 2007
Publisher: Scientific.Net
Source: Key engineering materials, 2007, v. 334-335 II, p. 1149-1152 How to cite?
Journal: Key engineering 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.
URI: http://hdl.handle.net/10397/13246
ISSN: 1013-9826
EISSN: 1662-9795
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

41
Last Week
1
Last month
Checked on Aug 21, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.