Articles | Volume 6, issue 6
Wind Energ. Sci., 6, 1401–1412, 2021
https://doi.org/10.5194/wes-6-1401-2021
Wind Energ. Sci., 6, 1401–1412, 2021
https://doi.org/10.5194/wes-6-1401-2021

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

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-25', Edward Hart, 19 May 2021
    • AC1: 'Reply on RC1', W.Dheelibun Remigius, 14 Jul 2021
  • RC2: 'Comment on wes-2021-25', Anonymous Referee #2, 30 May 2021
    • AC2: 'Reply on RC2', W.Dheelibun Remigius, 14 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by W.Dheelibun Remigius on behalf of the Authors (29 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Sep 2021) by Amir R. Nejad
RR by Edward Hart (07 Oct 2021)
ED: Publish as is (10 Oct 2021) by Amir R. Nejad
ED: Publish as is (11 Oct 2021) by Joachim Peinke(Chief Editor)
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.