Pattern Recognition of Barely Visible Impact Damage in Carbon Composites Using Pulsed Thermography

نویسندگان

چکیده

This article proposes a novel framework to characterize the morphological pattern of barely visible impact damage using machine learning. Initially, sequence image processing methods is introduced extract contour, which then described by Fourier descriptor-based filter. The uncertainty associated with contour under same energy level investigated. A variety geometric features are extracted develop an artificial intelligence model, effectively groups tested 100 samples impacted 5 different levels accuracy 96%. Predictive polynomial models finally established link three selected features. It found that major axis length has best prediction performance, R 2 value up 0.97. Additionally, caused low exhibits higher than high energy, indicating lower predictability.

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ژورنال

عنوان ژورنال: IEEE Transactions on Industrial Informatics

سال: 2022

ISSN: ['1551-3203', '1941-0050']

DOI: https://doi.org/10.1109/tii.2021.3134184