Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 11
Articles | Volume 10, issue 11
https://doi.org/10.5194/wes-10-2475-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-2475-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 11
Research article
 | 
04 Nov 2025
Research article |  | 04 Nov 2025

Investigating lab-scaled offshore wind aerodynamic testing failure and developing solutions for early anomaly detections

Yuksel R. Alkarem, Ian Ammerman, Kimberly Huguenard, Richard W. Kimball, Babak Hejrati, Amrit Verma, Amir R. Nejad, Reza Hashemi, and Stephan Grilli

Viewed

Total article views: 2,495 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,908 485 102 2,495 97 128
  • HTML: 1,908
  • PDF: 485
  • XML: 102
  • Total: 2,495
  • BibTeX: 97
  • EndNote: 128
Views and downloads (calculated since 14 Mar 2025)
Cumulative views and downloads (calculated since 14 Mar 2025)

Viewed (geographical distribution)

Total article views: 2,495 (including HTML, PDF, and XML) Thereof 2,425 with geography defined and 70 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 31 Jul 2026
Download
Short summary
Laboratory testing campaigns for the wind energy industry play an essential role in testing innovative control strategies and digital twin applications. But incidents during testing can be detrimental and might cause project delays and damage to expensive equipment. We propose an anomaly detection scheme for laboratory experiments that are developed and tested to enhance reaction time and prediction quality, reducing the likelihood of damage to equipment due to human error or software malfunction.
Read more
Share
Altmetrics
Final-revised paper
Preprint