Beamforming maps and noise spectra data of wind turbine blade leading edge erosion detection

doi: 10.4121/7ceb8eb4-b447-43e4-9085-9176cc629bc5.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/7ceb8eb4-b447-43e4-9085-9176cc629bc5
Datacite citation style:
Zhang, Y. (Yanan); Avallone, F. (Francesco); Watson, S.J. (Simon) (2023): Beamforming maps and noise spectra data of wind turbine blade leading edge erosion detection. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/7ceb8eb4-b447-43e4-9085-9176cc629bc5.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
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geolocation
Delft, the Netherlands
licence
cc-by.png logo CC BY 4.0

The dataset is associated with the noise measurements for wind turbine blade leading edge erosion detection experiments which have been reported in the authors' paper in Applied Acoustics (Leading edge erosion detection for a wind turbine blade using far-field aerodynamic noise).

history
  • 2023-09-29 first online, published, posted
publisher
4TU.ResearchData
format
MATLAB data/mat
funding
  • China Scholarship Council (201906330095) (grant code 201906330095) China Scholarship Council
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology, Wind Energy Section

DATA

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