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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Belarusian National Technical University
2021-06-01
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| Series: | Приборы и методы измерений |
| Subjects: | |
| Online Access: | https://pimi.bntu.by/jour/article/view/708 |
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