Abstract
This work deals with the identification of non-stationary/time-dependent dynamics based on vector measurements by means of postulated Linear Parameter Varying Vector AutoRegressive models, applied to the identification of the vibration response of an operating wind turbine blade. The focus here lies in estimation of the model parameters and their corresponding covariances, as well as the calculation of “frozen” modal quantities from identified models. The proposed methodology is verified on a simulated case study, consisting of an operational wind turbine blade.
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Notes
- 1.
The cut-off frequency has been selected in order to preserve the structural modes which are under 4 Hz. The filter has been applied in a forward-backward fashion to compensate the phase delay by using the Matlab command filtfilt.
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Acknowledgements
L.D. Avendaño-Valencia, E.N. Chatzi, and S.D. Fassois gratefully acknowledge the support of the ETH Zurich Postdoctoral Fellowship FEL-45 14-2 “A data-driven computational framework for damage identification and life-cycle management of wind turbine facilities”.
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Avendaño-Valencia, L.D., Chatzi, E.N., Fassois, S.D. (2017). In-Operation Wind Turbine Modal Analysis via LPV-VAR Modeling. In: Di Maio, D., Castellini, P. (eds) Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54648-3_6
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DOI: https://doi.org/10.1007/978-3-319-54648-3_6
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