The DOI displayed 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: 10.4121/3a674e38-364e-40c3-ad92-20db98810cf2

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

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Categories

• Mechanical Engineering
• Aerospace Engineering
• Engineering

Keywords

Aerodynamic noise Blade damage detection Trailing edge crack Wind turbine health condition monitoring

Geolocation

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Y. (Yanan) Zhang , F. (Francesco) Avallone , S.J. (Simon) Watson

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