Published April 24, 2025
| Version v1
Dataset
Open
Training & testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"
Creators
- 1. TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, Astondo bidea, Edificio 700, E- 48160 Derio, Spain
- 2. Basque Center for Applied Mathematics (BCAM), Bilbao, Spain
- 3. University of the Basque Country (UPV/EHU) Leioa, Spain
- 4. Ikerbasque (Basque Foundation for Sciences), Bilbao, Spain
- 5. Institute of Structural Engineering, Department of Civil, Environmental & Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland
Description
6-DOF Dynamic response of the DeepCWind OC4 semi-submersible platform, simulated in OpenFAST. Statistical measures have been obtained for each DOF, including means, standard deviations, top two peak frequencies, and zero-th momentum. Two forms of mooring line failure have been simulated: biological fouling and anchoring.
Files
joint.csv
Files
(33.3 MB)
| Name | Size | Download all |
|---|---|---|
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md5:d146787ebca1d47c58698c997fa5cd08
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33.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Publication: 10.5194/wes-2024-160 (DOI)
Software
- Repository URL
- https://github.com/anafdezna/GMM_Project