Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22069
Title: Vibration-based damage detection for composite structures using wavelet transform and neural network identification
Authors: Yam, LH
Yan, YJ
Jiang, JS
Issue Date: 2003
Publisher: Elsevier
Source: Composite structures, 2003, v. 60, no. 4, p. 403-412 How to cite?
Journal: Composite structures 
Abstract: This paper presents an integrated method for damage detection of composite structures using their vibration responses, wavelet transform and artificial neural networks (ANN) identification. Structural damage feature proxy vectors are constructed and calculated based on energy variation of the structural vibration responses decomposed using wavelet package before and after the occurrence of structural damage. The ANN are applied to establish the mapping relationship between structural damage feature proxy and damage status (location and severity). The results of crack damage detection for PVC sandwich plates show that the method developed in this paper can be applied to online structural damage detection and health monitoring for various industrial structures.
URI: http://hdl.handle.net/10397/22069
ISSN: 0263-8223
EISSN: 1879-1085
DOI: 10.1016/S0263-8223(03)00023-0
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