A wavelet-based damage detection approach for acousto-ultrasonic in-situ monitoring systems

Liew, Chin Kian and Veidt, Martin (2011) A wavelet-based damage detection approach for acousto-ultrasonic in-situ monitoring systems. Key Engineering Materials, 472 809-814. doi:10.4028/www.scientific.net/KEM.471-472.809

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Author Liew, Chin Kian
Veidt, Martin
Title A wavelet-based damage detection approach for acousto-ultrasonic in-situ monitoring systems
Formatted title A wavelet-based damage detection approach for acousto-ultrasonic in-situ monitoring systems
Journal name Key Engineering Materials   Check publisher's open access policy
ISSN 1013-9826
ISBN *****************
Publication date 2011-02-21
Sub-type Article (original research)
DOI 10.4028/www.scientific.net/KEM.471-472.809
Volume 472
Start page 809
End page 814
Total pages 6
Place of publication Stafa-Zurich, Switzerland
Publisher Trans Tech Publications
Collection year 2012
Language eng
Abstract In this research, an advanced signal processing technique using wavelet analysis has been developed for a guided wave structural health monitoring system. The approach was applied for the detection of delamination in carbon fibre reinforced composites. A monolithic piezoceramic actuator was attached to a laminate plate for wave generation while laser vibrometry was used to facilitate the measurements of the wave response in a sensor network. This database of wave response was then processed using the continuous wavelet transform to obtain the positional frequency content. Transforms between damaged and undamaged states were compared to ascertain the presence of defects by evaluating the total energy of the time-frequency density function. Results show high damage detection indices depending on the location of the sensor and normalisation factor applied while there are positive indications that this methodology can be extended for damage characterisation.
Keyword Structural health monitoring
Guided wave ultrasonics
Fibre-reinforced composites
Damage detection
Wavelet analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Online Feb 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2012 Collection
 
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Created: Thu, 28 Jul 2011, 16:54:47 EST by Mr Edmund Liew on behalf of School of Mechanical and Mining Engineering