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Damage location in a stiffened composite panel using lamb waves and neural networks

Record type: Conference or Workshop Item (Paper)

Neural networks have proved to be very powerful tools in pattern recognition and machine learning and have consequently seen a great deal of applications in Structural Health Monitoring; a field where Pattern Recognition is one of the main lines of attack. The current paper presents a case study of damage detection and location in a stiffened composite panel interrogated by ultrasonic Lamb waves. Rather than work directly on features extracted from the wave profiles, the proposed approach derives secondary features in the form of a vector of novelty indices for the plate. This can be used to train both neural network classifiers and regressors and the use of both for damage location is demonstrated in the paper.

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Citation

Chetwynd, D., Mustapha, F., Worden, K., Rongong, J.A., Pierce, S.G. and Dulieu-Barton, J.M. (2007) Damage location in a stiffened composite panel using lamb waves and neural networks At 25th International Modal Analysis Conference (IMAC XXV). 19 - 22 Feb 2007. 9 pp.

More information

Published date: 2007
Venue - Dates: 25th International Modal Analysis Conference (IMAC XXV), 2007-02-19 - 2007-02-22
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 49040
URI: http://eprints.soton.ac.uk/id/eprint/49040
PURE UUID: 55566b49-c741-4bb7-9a49-12908f3e18dd

Catalogue record

Date deposited: 22 Oct 2007
Last modified: 17 Jul 2017 14:57

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Contributors

Author: D. Chetwynd
Author: F. Mustapha
Author: K. Worden
Author: J.A. Rongong
Author: S.G. Pierce

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