Gnebner, Kevin und Govers, Yves (2024) Operational Modal Analysis of the Idling CART3 Research Wind Turbine Using BladeVision Data. In: 10th International Operational Modal Analysis Conference, IOMAC 2024, 515 (2), Seiten 638-648. Springer, Cham. 10th International Operational Modal Analysis Conference, IOMAC 2024, 2024-05-21 - 2024-05-24, Neapel, Italien. doi: 10.1007/978-3-031-61425-5_61. ISBN 978-303161420-0. ISSN 2366-2557.
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Kurzfassung
Wind turbine dynamics and especially rotor vibrations are of rising interest, since longer and slender rotor blades are more prone to vibrations. To understand the underlying phenomena, it is necessary to analyze vibration data from the rotor. Due to lightning protection sensor-based systems with classical accelerometers are rarely available. During the research project SmartBlades2 a rotor with a diameter of 40m was tested at the National Renewable Laboratory (NREL) in Boulder (Colorado) with a number of research instrumentation. Among these the camera-based BladeVision system which uses reflector marks installed inside the blades at four different spanwise positions with the last one installed at 75 %. All three blades are measured synchronously which enables the usability for operational modal analysis. This paper focuses on the identification of the turbine in idle mode under different wind speeds and temperatures. In detail the application of different identification methods (SSI and LSCF) and their advantages and disadvantages will be discussed for dedicated modes. Altogether a number of 12 rotor modes could be identified within the frequency range up to 20 Hz. Results are shown as eigenfrequencies, damping ratios and mode shapes.
elib-URL des Eintrags: | https://elib.dlr.de/206902/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Operational Modal Analysis of the Idling CART3 Research Wind Turbine Using BladeVision Data | ||||||||||||
Autoren: |
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Datum: | 2024 | ||||||||||||
Erschienen in: | 10th International Operational Modal Analysis Conference, IOMAC 2024 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Band: | 515 | ||||||||||||
DOI: | 10.1007/978-3-031-61425-5_61 | ||||||||||||
Seitenbereich: | Seiten 638-648 | ||||||||||||
Verlag: | Springer, Cham | ||||||||||||
Name der Reihe: | Lecture Notes in Civil Engineering | ||||||||||||
ISSN: | 2366-2557 | ||||||||||||
ISBN: | 978-303161420-0 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Operational Modal Analysis, Wind Turbine Dynamics, BladeVi- sion Data, Influence of Environmental Parameters | ||||||||||||
Veranstaltungstitel: | 10th International Operational Modal Analysis Conference, IOMAC 2024 | ||||||||||||
Veranstaltungsort: | Neapel, Italien | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 21 Mai 2024 | ||||||||||||
Veranstaltungsende: | 24 Mai 2024 | ||||||||||||
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: | Gnebner, Kevin | ||||||||||||
Hinterlegt am: | 30 Sep 2024 16:00 | ||||||||||||
Letzte Änderung: | 01 Okt 2024 09:58 |
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