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Proceedings Paper

Genetic algorithm for flaw characterization based on thermographic inspection data
Author(s): Nikolas Rajic
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Paper Abstract

A genetic algorithm is applied to the task of aw characterization based on active thermal inspection data. Experimental observations pertaining to test samples with axisymmetric inclusion aws are used to validate the approach, with encouraging results. Errors in identification are discussed and can, at least in part, be attributed to the use of a relatively primitive fitness function formulation and the assumption in the heat-transfer model of negligible heat-loss through convection and radiation. The general approach however appears sound and can be modified to include important heat-transfer mechanisms and alternative fitness function formulations.

Paper Details

Date Published: 15 March 2002
PDF: 9 pages
Proc. SPIE 4710, Thermosense XXIV, (15 March 2002); doi: 10.1117/12.459602
Show Author Affiliations
Nikolas Rajic, Defence Science and Technology Organisation (Australia)


Published in SPIE Proceedings Vol. 4710:
Thermosense XXIV
Xavier P. Maldague; Andres E. Rozlosnik, Editor(s)

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