Search
Frequency domain operational modal analysis methods for fatigue damage progression in laboratory tests of wind turbine blade
Abstract
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.
Authors (5)
-
Andre Tavares
-
Emilio Lorenzo Di
-
Kim Branner
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- 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,
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 0 times
Recommended for you
Uncertainty Quantification in Experimental Structural Dynamics Identification of Composite Material Structures
- M. Łuczak,
- B. Peeters,
- M. Kahsin
- + 2 authors