Graham, D. and Maas, P. and Donaldson, G.B. and Carr, C. (2004) Impact damage detection in carbon fibre composites using HTS SQUIDs and neural networks. NDT and E International, 37 (7). pp. 565-570. ISSN 0963-8695
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
A neural network-based data analysis tool, developed to speed the damage detection process for the NDE of impact damaged carbon fibre composites, is discussed. A feature extraction method utilising a gradient threshold search function and a feed forward neural network for pattern recognition were used to develop the system. Impact damaged carbon composite sample plates were scanned with an eddy current-based NDE setup using HTS SQUID gradiometers and double-D excitation coils. Detection of damage sites in data affected by noise spikes caused by environmental disturbances is demonstrated. Finally, a possible design for a future entirely automated scanning system is also introduced.
| Item type: | Article |
|---|---|
| ID code: | 17320 |
| Keywords: | eddy current, neural network, composite laminates, Chemistry |
| Subjects: | Science > Chemistry |
| Department: | Faculty of Science > Pure and Applied Chemistry Faculty of Science > Physics |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 26 Apr 2010 11:31 |
| Last modified: | 12 Mar 2012 11:07 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/17320 |
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