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

Damage location in a stiffened composite panel using lamb waves and neural networks
Damage location in a stiffened composite panel using lamb waves and neural networks
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.
Chetwynd, D.
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Mustapha, F.
56913b23-42be-420d-b1b0-e97fd5766fcc
Worden, K.
07522936-fd47-4df2-b75e-c3d297d104b3
Rongong, J.A.
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Pierce, S.G.
9b618edd-6d5c-42ac-9e0c-f285ba75daa2
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632
Chetwynd, D.
0ef3b85a-1a3a-4d53-9533-71653574eab3
Mustapha, F.
56913b23-42be-420d-b1b0-e97fd5766fcc
Worden, K.
07522936-fd47-4df2-b75e-c3d297d104b3
Rongong, J.A.
724e7d1e-29b9-4a46-a536-2a4d0b38ffd2
Pierce, S.G.
9b618edd-6d5c-42ac-9e0c-f285ba75daa2
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632

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. 25th International Modal Analysis Conference (IMAC XXV), Orlando, USA. 19 - 22 Feb 2007. 9 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

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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More information

Published date: 2007
Venue - Dates: 25th International Modal Analysis Conference (IMAC XXV), Orlando, USA, 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: 08 Jan 2022 07:03

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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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