Defect Detection in Wind Turbine Blades Using Infrared Thermography, Image Processing, and U-Net
In this research, we developed and tested an automated defect detection system for wind turbine blades using infrared thermography (IRT) and the deep learning model U-Net.
Authors
- Xavier Maldague (ORCID: https://orcid.org/0000-0002-8777-2008)
- Clemente Ibarra‐Castanedo (ORCID: https://orcid.org/0000-0002-0198-7439)
- Leith Bounenni
Institutions
- Université Laval (CA)
Publication Details
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3390/proceedings2025129042
- Citations
- 1
- Primary Topic
- Metallurgy and Material Forming
- Type
- article
- Field-Weighted Citation Impact
- 0.86