Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 4
Articles | Volume 9, issue 4
https://doi.org/10.5194/wes-9-1005-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1005-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 4
Research article
 | 
24 Apr 2024
Research article |  | 24 Apr 2024

Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions

Kristian Ladefoged Ebbehøj, Philippe Jacques Couturier, Lars Morten Sørensen, and Jon Juel Thomsen

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Cited articles

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Avendaño-Valencia, L. D. and Chatzi, E. N.: Multivariate GP-VAR models for robust structural identification under operational variability, Probabil. Eng. Mech., 60, 103035, https://doi.org/10.1016/j.probengmech.2020.103035, 2020. a
Avendaño-Valencia, L. D. and Fassois, S. D.: Stationary and non-stationary random vibration modelling and analysis for an operating wind turbine, Mech. Syst. Signal Process., 47, 263–285, 2014. a
Avendaño-Valencia, L. D., Chatzi, E. N., Koo, K. Y., and Brownjohn, J. M.: Gaussian process time-series models for structures under operational variability, Front. Built Environ., 3, 69, https://doi.org/10.3389/fbuil.2017.00069, 2017. a, b, c, d, e, f, g, h, i
Avendaño-Valencia, L. D., Chatzi, E. N., and Tcherniak, D.: Gaussian process models for mitigation of operational variability in the structural health monitoring of wind turbines, Mech. Syst. Signal Process., 142, 106686, https://doi.org/10.1016/j.ymssp.2020.106686, 2020. a
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This paper experimentally validates a novel method for characterizing wind turbine dynamics based on vibration measurements. The dynamics of wind turbines can change over short time periods if the operational conditions change. In such cases, conventional methods are inadequate. The validation is performed with a controlled laboratory experiment and a full-scale wind turbine test. More accurate characterization could lead to more efficient wind turbine designs and in turn cheaper wind energy.
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