Journal
SENSORS
Volume 18, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/s18010045
Keywords
infrared thermography; polynomial fitting; low-order derivative; composite; low-velocity impact
Funding
- Canada Research Chair in Multipolar Infrared Vision (MiViM)
- Natural Sciences and Engineering Research Council (NSERC) Canada through a Discovery Grant
- Fonds de recherche du Quebec-Nature et technologies (FRQNT)
- Regroupement pour l'etude des environnements partages intelligents repartis (REPARTI) through the International Internship Program
- Russian Scientific Foundation [17-19-01047]
- Tomsk Polytechnic University through a Competitiveness Enhancement Program
- Russian Science Foundation [17-19-01047] Funding Source: Russian Science Foundation
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In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.
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