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Proceedings Paper

Fault detection employing transducer optimisation procedures
Author(s): Keith Worden; Geoffrey R. Tomlinson; A. P. Burrows
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Paper Abstract

This paper describes one possible way forward for smart structures in the domain of fault detection and classification using neural networks and genetic algorithms. Consideration is given to the incompatibility between numerical training data sets and real structures and how this may be ameliorated using optimization procedures for determining the number and location of transducers required to locate and classify a fault.

Paper Details

Date Published: 13 September 1994
PDF: 11 pages
Proc. SPIE 2361, Second European Conference on Smart Structures and Materials, (13 September 1994); doi: 10.1117/12.184855
Show Author Affiliations
Keith Worden, Univ. of Manchester (United Kingdom)
Geoffrey R. Tomlinson, Univ. of Manchester (United Kingdom)
A. P. Burrows, Univ. of Manchester (United Kingdom)

Published in SPIE Proceedings Vol. 2361:
Second European Conference on Smart Structures and Materials
Alaster McDonach; Peter T. Gardiner; Ron S. McEwen; Brian Culshaw, Editor(s)

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