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Title
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3D defect detection using weighted principal component thermography
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Author
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Abstract
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| Quantitive infrared thermography like active thermography is a non-destructive testing technique that is used to inspect surfaces of components for defects. A problem with infrared-based defect detection is that misclassifications based on geometrically dependent measurement characteristics can occur. This problem becomes more problematic with the inspection of complex 3D shapes. In this paper, a new infrared quality control procedure using a quality map is proposed that models the geometrically dependent measurement characteristics based on available CAD data and CAD matching techniques. Misclassifications are reduced by using this quality map in combination with a modified version of principal component thermography post-processing. We applied our proposed methodology on a prototype bicycle part and a plaster cast angel figurine. In these experiments, the procedure using quality maps is able to prevent false defect detection. |
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Language
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English
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Source (journal)
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Optics and lasers in engineering. - Barking
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Publication
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Barking
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2020
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ISSN
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0143-8166
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DOI
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10.1016/J.OPTLASENG.2020.106039
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Volume/pages
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128
(2020)
, p. 1-6
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Article Reference
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UNSP 106039
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ISI
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000534067900026
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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Full text (publisher's version - intranet only)
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