Beamforming maps and noise spectra data of wind turbine blade trailing edge crack detection
doi:10.4121/3a674e38-364e-40c3-ad92-20db98810cf2.v1
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doi: 10.4121/3a674e38-364e-40c3-ad92-20db98810cf2
doi: 10.4121/3a674e38-364e-40c3-ad92-20db98810cf2
Datacite citation style:
Zhang, Y. (Yanan); Avallone, F. (Francesco); Watson, S.J. (Simon) (2023): Beamforming maps and noise spectra data of wind turbine blade trailing edge crack detection. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3a674e38-364e-40c3-ad92-20db98810cf2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The data set is the beamforming maps and noise spectra that are associated with the experiments of wind turbine blade trailing edge crack detection. The details of the data set have been reported in the authors' paper in Applied Acoustics (Wind turbine blade trailing edge crack detection based on airfoil aerodynamic noise: An experimental study).
history
- 2023-09-29 first online, published, posted
publisher
4TU.ResearchData
format
MATLAB data/mat
associated peer-reviewed publication
Wind turbine blade trailing edge crack detection based on airfoil aerodynamic noise: An experimental study
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
files (5)
- 1,954 bytesMD5:
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README.txt - 3,520,418,958 bytesMD5:
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Map_B_all_exp_2_2_G0.mat - 3,494,575,295 bytesMD5:
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Map_B_all_exp_2_2_G2.mat - 3,511,231,103 bytesMD5:
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Map_B_all_exp_2_2_G3.mat - 3,997,061 bytesMD5:
7383736b4770d02563dc4c2b6a1adc91
SPL_all_exp_2_2.mat -
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