Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1401-2021
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

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Cited articles

Aarden, P.: System Identification of the 2B6 Wind Turbine: A regularised PBSIDopt approach, Master's thesis, Delft University of Technology, Delft, the Netherlands, 2017. a
Bak, C., Zahle, F., Bitsche, R., Kim, T., Yde, A., Henriksen, L. C., Natarajan, A., and Hansen, M.: Description of the DTU 10 MW reference wind turbine, Tech. Rep. I-0092, DTU Wind Energy, Roskilde, Denmark, 2013. a
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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.
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