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Chetwynd, D.
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Publications (5/5 displayed)
- 2008Damage localisation in a stiffened composite panel
- 2008Damage localisation in a stiffened composite panelcitations
- 2008The effects of uncertainties within acoustic emission modelling
- 2007Damage location in a stiffened composite panel using lamb waves and neural networks
- 2007Damage location in a stiffened composite panel using Lamb waves and neural networks
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document
Damage location in a stiffened composite panel using lamb waves and neural networks
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.