Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection

Infrared thermography is a non-destructive testing method used to detect defects in materials and structures. Machine learning algorithms have been applied to thermographic data to automate the defect detection process. Data preparation and feature extraction are crucial factors affecting ML model r...

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Hlavní autoři:	Alexey Moskovchenko, Michal Svantner
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-10-01
Edice:	Engineering Proceedings
Témata:	thermography infrared machine learning thermographic data processing impact damage composite
On-line přístup:	https://www.mdpi.com/2673-4591/51/1/5
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!