Events The 18th Advanced Infrared Technology and Applications (AITA2025)

Event submissions

Published

This submission belongs to the session Session 7. Session 7 of the event The 18th Advanced Infrared Technology and Applications (AITA2025)

Published date

29 Aug, 2025

Academic Editor

Hirotsugu Inoue

Citation

Xavier Maldague, Defect Detection in Wind Turbine Blades Using Infrared Thermography, Image Processing, and U-Net, in Proceedings of The 18th Advanced Infrared Technology and Applications (AITA2025), Kobe, Hyogo, 15 September–19 September 2025, MDPI: Basel, Switzerland

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Defect Detection in Wind Turbine Blades Using Infrared Thermography, Image Processing, and U-Net

Xavier Maldague ¹

1. Université Laval, Canada

Abstract

In this research, we developed and tested an automated defect detection system for wind turbine blades using infrared thermography (IRT) and a deep learning model U-Net.

Keywords

thermography

wind turbine blades

modelling

U-net.

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