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

Xavier Maldague

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

Xavier Maldague

¹ Université Laval

Academic Editor: Hirotsugu Inoue

Published: 29 August 2025 by MDPI in The 18th Advanced Infrared Technology and Applications (AITA2025) session Session 7

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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Xavier Maldague