Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine

A. Fernandez-Navamuel; N. Gorostidi; David Pardo; V. Nava; E. Chatzi

doi:10.5194/wes-10-857-2025

Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine

A. Fernandez-Navamuel
, N. Gorostidi
, David Pardo
, V. Nava
, E. Chatzi

Offshore Renewables Energies

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

4 Downloads (Pure)

Original language	English
Pages (from-to)	857-885
Number of pages	29
Journal	Wind Energy Science
Volume	10
Issue number	5
DOIs	https://doi.org/10.5194/wes-10-857-2025
Publication status	Published - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.5194/wes-10-857-2025

wes-10-857-2025Final published version, 9.35 MB

https://wes.copernicus.org/articles/10/857/2025/

Training & testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"
Fernández-Navamuel, A. (Creator), Gorostidi, N. (Creator), Pardo, D. (Creator), Nava, V. (Creator) & Chatzi, E. (Creator), Zenodo, 24 Apr 2024
DOI: 10.5281/zenodo.15275037, https://zenodo.org/records/15275037
Dataset

Cite this

@article{bef65f80dee04c0c85bd950e4e94ea8e,

title = "Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine",

author = "A. Fernandez-Navamuel and N. Gorostidi and David Pardo and V. Nava and E. Chatzi",

year = "2025",

doi = "10.5194/wes-10-857-2025",

language = "English",

volume = "10",

pages = "857--885",

journal = "Wind Energy Science",

issn = "2366-7443",

publisher = "Copernicus GmbH",

number = "5",

}

TY - JOUR

T1 - Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine

AU - Fernandez-Navamuel, A.

AU - Gorostidi, N.

AU - Pardo, David

AU - Nava, V.

AU - Chatzi, E.

PY - 2025

Y1 - 2025

U2 - 10.5194/wes-10-857-2025

DO - 10.5194/wes-10-857-2025

M3 - Article

SN - 2366-7443

VL - 10

SP - 857

EP - 885

JO - Wind Energy Science

JF - Wind Energy Science

IS - 5

ER -

Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine

UN SDGs

Access to Document

Datasets

Training &amp; testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"

Cite this

Training & testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"