In-operation wind turbine modal analysis via LPV-VAR modeling

L.D. Avendaño-Valencia; E.N. Chatzi; S.D. Fassois

doi:10.1007/978-3-319-54648-3_6

In-operation wind turbine modal analysis via LPV-VAR modeling

L.D. Avendaño-Valencia, E.N. Chatzi, S.D. Fassois

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

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.

Original language	English
Title of host publication	Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry : Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017
Editors	Dario Di Maio, Paolo Castellini
Volume	8
Publication date	2017
Pages	47-57
DOIs	https://doi.org/10.1007/978-3-319-54648-3_6
Publication status	Published - 2017
Externally published	Yes
Event	IMAC XXXV, A Conference and Exposition on Structural Dynamics 2017 - Orlando, United States Duration: 12. Feb 2017 → 15. Feb 2017 Conference number: 35

Conference

Conference	IMAC XXXV, A Conference and Exposition on Structural Dynamics 2017
Number	35
Country	United States
City	Orlando
Period	12/02/2017 → 15/02/2017

Series	Conference Proceedings of the Society for Experimental Mechanics Series
ISSN	2191-5644

Documents & Links

10.1007/978-3-319-54648-3_6

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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 D. Di Maio, & P. Castellini (Eds.), Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017 (Vol. 8, pp. 47-57). Conference Proceedings of the Society for Experimental Mechanics Series https://doi.org/10.1007/978-3-319-54648-3_6

Avendaño-Valencia, L.D. ; Chatzi, E.N. ; Fassois, S.D. / In-operation wind turbine modal analysis via LPV-VAR modeling. Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017. editor / Dario Di Maio ; Paolo Castellini. Vol. 8 2017. pp. 47-57 (Conference Proceedings of the Society for Experimental Mechanics Series).

@inproceedings{bd1c39071aa04984ad718804a962df5f,

title = "In-operation wind turbine modal analysis via LPV-VAR modeling",

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.",

author = "L.D. Avenda{\~n}o-Valencia and E.N. Chatzi and S.D. Fassois",

year = "2017",

doi = "10.1007/978-3-319-54648-3_6",

language = "English",

volume = "8",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

publisher = "Springer",

pages = "47--57",

editor = "{Di Maio}, Dario and Paolo Castellini",

booktitle = "Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry",

note = "IMAC XXXV, A Conference and Exposition on Structural Dynamics 2017, IMAC ; Conference date: 12-02-2017 Through 15-02-2017",

}

Avendaño-Valencia, LD, Chatzi, EN & Fassois, SD 2017, In-operation wind turbine modal analysis via LPV-VAR modeling. in D Di Maio & P Castellini (eds), Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017. vol. 8, Conference Proceedings of the Society for Experimental Mechanics Series, pp. 47-57, IMAC XXXV, A Conference and Exposition on Structural Dynamics 2017, Orlando, United States, 12/02/2017. https://doi.org/10.1007/978-3-319-54648-3_6

In-operation wind turbine modal analysis via LPV-VAR modeling. / Avendaño-Valencia, L.D.; Chatzi, E.N.; Fassois, S.D.

Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017. ed. / Dario Di Maio; Paolo Castellini. Vol. 8 2017. p. 47-57 (Conference Proceedings of the Society for Experimental Mechanics Series).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

TY - GEN

T1 - In-operation wind turbine modal analysis via LPV-VAR modeling

AU - Avendaño-Valencia, L.D.

AU - Chatzi, E.N.

AU - Fassois, S.D.

N1 - Conference code: 35

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-54648-3_6

DO - 10.1007/978-3-319-54648-3_6

M3 - Article in proceedings

VL - 8

T3 - Conference Proceedings of the Society for Experimental Mechanics Series

SP - 47

EP - 57

BT - Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry

A2 - Di Maio, Dario

A2 - Castellini, Paolo

T2 - IMAC XXXV, A Conference and Exposition on Structural Dynamics 2017

Y2 - 12 February 2017 through 15 February 2017

ER -

Avendaño-Valencia LD, Chatzi EN, Fassois SD. In-operation wind turbine modal analysis via LPV-VAR modeling. In Di Maio D, Castellini P, editors, Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017. Vol. 8. 2017. p. 47-57. (Conference Proceedings of the Society for Experimental Mechanics Series). https://doi.org/10.1007/978-3-319-54648-3_6