Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 11
Articles | Volume 11, issue 11
https://doi.org/10.5194/wes-11-4205-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-4205-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 11
Research article
 | 
11 Nov 2026
Research article |  | 11 Nov 2026

Machine learning framework for scour detection across multiple offshore wind farms

Mahmoud Abdelhak, Luke J. Prendergast, Jacques Tott-Buswell, Ramin Ghiasi, and Abdollah Malekjafarian

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Short summary
This study proposes a method to detect seabed erosion around offshore wind turbines at the inter-farm level using acceleration data from a single tower sensor. Tested with simulations across different turbines and sites, it reliably identifies erosion even for unseen turbines, helping to reduce inspection costs and improve maintenance.
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