Fault location in a framework structure using neural networks

Worden, K., Ball, Andrew and Tomlinson, G.R. (1999) Fault location in a framework structure using neural networks. Smart Materials and Structures, 2 (3). pp. 189-200. ISSN 0964-1726

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Abstract

A neural network is trained to report the position of a fault in a framework structure. It is shown that a network trained on data from finite-element simulation of the structure can successfully locate faults in the framework itself.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Schools:	School of Computing and Engineering School of Computing and Engineering > Automotive Engineering Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
Related URLs:	Author
Depositing User:	Cherry Edmunds
Date Deposited:	18 Nov 2014 16:26
Last Modified:	03 Apr 2018 15:15
URI:	http://eprints.hud.ac.uk/id/eprint/22419

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