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

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

Dataset

• Mechanical Engineering
• Aerospace Engineering
• Engineering

Aeroacoustics, Aerodynamic noise, Damage detection, Leading edge erosion, Wind turbine blade

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

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

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).

• 2023-09-29 first online, published, posted

4TU.ResearchData

MATLAB data/mat

Leading edge erosion detection for a wind turbine blade using far-field aerodynamic noise

• China Scholarship Council (201906330095) (grant code 201906330095) China Scholarship Council

TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology, Wind Energy Section