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

Remigius, W. Dheelibun; Natarajan, Anand

doi:https://doi.org/10.5194/wes-6-1401-2021

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

Model code and software

Estimation of main shaft torsional modal parameters from high-frequency SCADA data, in: Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach, v1.0 W. Dheelibun Remigius https://doi.org/10.5281/zenodo.5643220

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.