Schwochow, Jan und Gnebner, Kevin und Govers, Yves (2022) Application of time-periodic stochastic subspace identification on operating wind turbine rotor data. In: Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. ISMA 2022 - International Conference on Noise and Vibration Engineering, 2022-09-12 - 2022-09-14, Leuven, Belgium. ISBN 978-908289315-1.
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Offizielle URL: https://www.isma-isaac.be/isma2022/
Kurzfassung
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode shapes, eigenfrequencies and damping ratios from response time histories of linear time-invariant systems (LTI), which are operated under random excitation. In case of rotating substructures, e.g. wind turbine rotors, the periodic responses contain participation of several higher harmonics of the rotor speed. For such timeperiodic systems the modal analysis can be described by characteristic exponents called Floquet multipliers, which postulate periodic modal deformation except for the total amplitude (determined by damping ratio) after one period of revolution. The presented periodically expanded subspace algorithm (SSI-LTP) projects the system response from one period to the next. The algorithm is applied to the evaluation of simulated and experimental rotor blade deformation data of a wind turbine operating at different wind and rotor speeds, which were measured with a commercially available optical rotor blade deformation measurement system.
elib-URL des Eintrags: | https://elib.dlr.de/188693/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Application of time-periodic stochastic subspace identification on operating wind turbine rotor data | ||||||||||||||||
Autoren: |
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Datum: | September 2022 | ||||||||||||||||
Erschienen in: | Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
ISBN: | 978-908289315-1 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | wind turbine aeroelasticity, vibration test, operational modal analysis, linear time-periodic system | ||||||||||||||||
Veranstaltungstitel: | ISMA 2022 - International Conference on Noise and Vibration Engineering | ||||||||||||||||
Veranstaltungsort: | Leuven, Belgium | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 12 September 2022 | ||||||||||||||||
Veranstaltungsende: | 14 September 2022 | ||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||
HGF - Programm: | Materialien und Technologien für die Energiewende | ||||||||||||||||
HGF - Programmthema: | Photovoltaik und Windenergie | ||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||
DLR - Forschungsgebiet: | E SW - Solar- und Windenergie | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Windenergie | ||||||||||||||||
Standort: | Göttingen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Aeroelastik > Strukturdynamik und Systemidentifikation | ||||||||||||||||
Hinterlegt von: | Schwochow, Jan | ||||||||||||||||
Hinterlegt am: | 05 Okt 2022 13:27 | ||||||||||||||||
Letzte Änderung: | 07 Aug 2024 08:46 |
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