Anomaly Detection in Wind Turbines: Overview of Deep Learning Approaches

Le Minh Hoang Pham, Hai Canh Vu, Christophe Danjou, Nassim Boudaoud and Vincent Lanfranchi

Paper (2025)

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Department:	Department of Mathematics and Industrial Engineering
ISBN:	9798331554484
PolyPublie URL:	https://publications.polymtl.ca/72109/
Conference Title:	3rd International Conference on Artificial Intelligence and Automation Control (AIAC 2025)
Conference Location:	Paris, France
Conference Date(s):	2025-10-15 - 2025-10-17
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/aiac68175.2025.11332234
Official URL:	https://doi.org/10.1109/aiac68175.2025.11332234
Date Deposited:	02 Feb 2026 17:04
Last Modified:	02 Feb 2026 17:04

Cite in APA 7:	Pham, L. M. H., Vu, H. C., Danjou, C., Boudaoud, N., & Lanfranchi, V. (2025, October). Anomaly Detection in Wind Turbines: Overview of Deep Learning Approaches [Paper]. 3rd International Conference on Artificial Intelligence and Automation Control (AIAC 2025), Paris, France. https://doi.org/10.1109/aiac68175.2025.11332234
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