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Frequency domain operational modal analysis methods for fatigue damage progression in laboratory tests of wind turbine blade
Abstrakt
The long, elastic blades in wind turbines are sensitive to external vibrations. Monitoring their health is crucial for safety, damage detection, performance estimation, and predicting remaining lifetime. Performing SHM during wind turbine operation gains interest for diagnostics when the shutdown of a wind turbine is expensive or not desirable. In this case, Operational Modal Analysis (OMA) techniques are of specific interest. They determine modal parameters that can indicate changes in the structural properties even with unknown input forces. However, OMA has limitations that require further research. The uncertainty of modal parameters extracted by these techniques is significantly higher compared to modal methods where inputs are known. Therefore, this work aims to discuss and improve the methods for extracting modal parameters from accelerometer data collected during laboratory tests on a composite wind turbine blade with known fatigue damage progression. This work specifically focuses on the frequency domain OMA techniques. © 2024 Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.
Autorzy (5)
-
Andre Tavares
-
Emilio Lorenzo Di
-
Kim Branner
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Informacje szczegółowe
- Kategoria:
- Aktywność konferencyjna
- Typ:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Język:
- angielski
- Rok wydania:
- 2024
- Opis bibliograficzny:
- Branner K., Tavares A., Lorenzo Di E., Łuczak M.: Frequency domain operational modal analysis methods for fatigue damage progression in laboratory tests of wind turbine blade// 31st International Conference on Noise and Vibration Engineering, ISMA 2024/ KU Leuven: , 2024,
- Źródła finansowania:
-
- Publikacja bezkosztowa
- Weryfikacja:
- Politechnika Gdańska
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