APPLICATION OF NEURAL NETWORKS TO THERMOGRAPHIC DATA REDUCTION FOR NONDESTRUCTIVE EVALUATION

Authors
GRINZATO E MARINETTI S BISON PG MANDUCHI G
Citation
E. Grinzato et al., APPLICATION OF NEURAL NETWORKS TO THERMOGRAPHIC DATA REDUCTION FOR NONDESTRUCTIVE EVALUATION, Revue générale de thermique, 34(397), 1995, pp. 17-27
Citations number
23
Categorie Soggetti
Engineering, Mechanical",Thermodynamics
Journal title
Revue générale de thermique → ACNP
ISSN journal
00353159
Volume
34
Issue
397
Year of publication
1995
Pages
17 - 27
Database
ISI
SICI code
0035-3159(1995)34:397<17:AONNTT>2.0.ZU;2-K
Abstract
A methodological study on the use of artificial neural networks for th ermal defects characterization is presented. An implementation of an a lgorithm called dynamic thermal tomography, by means of a tree like ar chitecture is described. Experimental results obtained on plastic spec imens, containing artificial defects, confirm the potential of the pro posed data reduction procedure. The evaluation of depth, and particula rly of the thickness of internal voids, proved extremely satisfactory.