Wind Energy Science
Wind Energy Science
WES
Articles | Volume 6, issue 6
Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1401-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-1401-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 6
Research article
 | 
05 Nov 2021
Research article |  | 05 Nov 2021

Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach

W. Dheelibun Remigius and Anand Natarajan

Viewed

Total article views: 2,834 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,588 1,178 68 2,834 71 69
  • HTML: 1,588
  • PDF: 1,178
  • XML: 68
  • Total: 2,834
  • BibTeX: 71
  • EndNote: 69
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads (calculated since 27 Apr 2021)

Viewed (geographical distribution)

Total article views: 2,834 (including HTML, PDF, and XML) Thereof 2,749 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Jul 2025
Download
Short summary
A novel inverse-problem-based methodology estimates drivetrain main-shaft torsional stiffness and displacement by using high-frequency SCADA (supervisory control and data acquisition) measurements without an aeroelastic design basis. It involves Tikhonov regularisation for regularising the measurement data and the collage method for system identification. The estimated quantities can be further used to identify the site-specific torsional loads and the damage-equivalent load of the main shaft.
Read more
Share
Altmetrics
Final-revised paper
Preprint