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  4. Infrared thermographic inspection of 3D hybrid aluminium-CFRP composite using different spectral bands and new unsupervised probabilistic low-rank component factorization model
 
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2022
Journal Article
Titel

Infrared thermographic inspection of 3D hybrid aluminium-CFRP composite using different spectral bands and new unsupervised probabilistic low-rank component factorization model

Abstract
In this work, infrared thermography is used to detect defects on a 3D hybrid aluminium-CFRP composite structure. First, radiometric calibration and geometric distortion correction are performed for 3D inspection. Second, we propose a new unsupervised probabilistic low-rank component factorization thermographic de-noising model to improve image performance and defect visualization. Signal profiles and standard deviation analysis is used to assess the results, and x-ray CT inspections are compared to the infrared inspection results. Finally, we can conclude that the proposed algorithm can detect voids and resin rich areas presenting a better image performance if compared to direct infrared inspection results.
Author(s)
Fernandes, Henrique Coelho
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP
Zhang, Hai
Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Laval University, Quebec City, Canada / Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP
Quirin, Steven
Chair for Lightweight Systems, Saarland University, Saarbrücken, Germany
Hu, Jue
Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Laval University, Quebec City, Canada
Schwarz, Michael
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP
Jost, Hendrik
Chair for Lightweight Systems, Saarland University, Saarbrücken, Germany
Herrmann, Hans-Georg
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP
Zeitschrift
NDT & E International
Thumbnail Image
DOI
10.1016/j.ndteint.2021.102561
Language
English
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Tags
  • infrared thermography

  • hybrid aluminium-CFRP

  • radiance calibration

  • geometric correction

  • probabilistic de-noising

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