Deep Learning Automated System for Thermal Defectometry of Multilayer Materials

Deep Learning Automated System for Thermal Defectometry of Multilayer Materials

Currently, along with growth in industrial production, the requirements for product quality testing are also increasing. In the tasks of defectoscopy and defectometry of multilayer materials, the use of thermal nondestructive testing method is promising. At the same time, interpretation of thermal t...

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Bibliographic Details
Main Authors: A. S. Momot, R. M. Galagan, V. Yu. Gluhovskii
Format: Article
Language:English
Published: Belarusian National Technical University 2021-06-01
Series:Pribory i Metody Izmerenij
Subjects:
thermal testing
multilayer materials
deep learning
Online Access:https://pimi.bntu.by/jour/article/view/708

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