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Proceedings Paper

Blind deconvolution of acoustic emission signals for damage identification of composites
Author(s): Gangtie Zheng; M. A. Buckley; Guillaume Kister; Gerard Franklyn Fernando
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Paper Abstract

The analysis of acoustic emission signals has been widely applied to damage detection and damage characterization in composites. Features of acoustic emission signals, such as amplitude, frequency, and counts, are usually utilized to identify the type of a damage. Recently, time-frequency distribution techniques, such as the wavelet transform and the Choi-Williams distribution, have also been applied to characterize damage. A common feature of these approaches is that the analysis is on the acoustic emission signal itself. Nevertheless, this signal is not the wave source signal as it has been modulated by the signal transfer path. Real information on damage is actually hidden behind the signal. To reveal direct information on damage, a blind deconvolution method has been developed. It is a quefrency domain method based on the cepstrum technique. With the method, acoustic emission signal is demodulated and information on the wave source can be revealed and thus damage can be identified. This paper presents preliminary test data to assess the validity of the proposed methodology as a means of identifying specific damage modes in fiber reinforced composites.

Paper Details

Date Published: 13 May 2000
PDF: 11 pages
Proc. SPIE 3993, Nondestructive Evaluation of Aging Materials and Composites IV, (13 May 2000); doi: 10.1117/12.385505
Show Author Affiliations
Gangtie Zheng, Cranfield Univ. (United Kingdom)
M. A. Buckley, Cranfield Univ. (United Kingdom)
Guillaume Kister, Cranfield Univ. (United Kingdom)
Gerard Franklyn Fernando, Cranfield Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 3993:
Nondestructive Evaluation of Aging Materials and Composites IV
George Y. Baaklini; Carol A. Nove; Eric S. Boltz, Editor(s)

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