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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Volume 1, issue 2
Wind Energ. Sci., 1, 177–203, 2016
https://doi.org/10.5194/wes-1-177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Wind Energ. Sci., 1, 177–203, 2016
https://doi.org/10.5194/wes-1-177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Oct 2016

Research article | 20 Oct 2016

Periodic stability analysis of wind turbines operating in turbulent wind conditions

Riccardo Riva et al.
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Cited articles  
Allen, M. S. and Ginsberg, J. H.: Floquet modal analysis to detect cracks in a rotating shaft on anisotropic supports, Proceedings of 24th IMAC Conference, 30 January–2 February 2006, St. Louis, Missouri, 2006.
Allen, M. S., Chauhan, S., and Hansen, M. H.: Advanced operational modal analysis methods for linear time periodic system identification, Proceedings of 29th IMAC Conference, 31 January–3 February 2011, Jacksonville, Florida, https://doi.org/10.1007/978-1-4419-9316-8_3, 2011a.
Allen, M. S., Sracic, M. W., Chauhan, S., and Hansen, M. H.: Output-only modal analysis of linear time periodic systems with application to wind turbine simulation data, Mech. Syst. Signal Pr., 25, 1174–1191, https://doi.org/10.1016/j.ymssp.2010.12.018, 2011b.
Avendaño-Valencia, L. D. and Fassois, S. D.: In-operation identification of wind turbine non-stationary dynamics: a comparison of various methods, Proceedings of 5th IOMAC Conference, 13–15 May 2013, Guimarães, Portugal, 2013.
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 Pr., 47, 263–285, https://doi.org/10.1016/j.ymssp.2013.07.022, 2014.
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This paper presents a method to assess the stability of a wind turbine. The proposed approach uses the recorded time history of the system response and fits to it a periodic reduced-order model that can handle stochastic disturbances. Stability is computed by using Floquet theory on the reduced-order model. Since the method only uses response data, it is applicable to any simulation model as well as to experimental test data. The method is compared to the well-known operational modal analysis.
This paper presents a method to assess the stability of a wind turbine. The proposed approach...
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