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Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution

Crossref DOI link: https://doi.org/10.1007/s00366-025-02148-6

Published Online: 2025-04-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Fathnejat, Hamed https://orcid.org/0000-0002-1146-8384
Nava, Vincenzo https://orcid.org/0000-0002-3207-3517
Funding

Funding for this research was provided by:

The Spanish Ministry of Economic Affairs and Digital Transformation project IA4TES (MIA.2021.M04.0008)

BCAM Severo Ochoa (CEX2021-001142-S/ MICIN / AEI/10.13039/501100011033)

Basque Government (BERC 2022–2025)

ELKARTEK project RUL-ET (KK-2024/00086)

The Spanish Ministry of Science and Innovation project (TED2021-132783B-I00)

Basque Center for Applied Mathematics - BCAM
License Information

Text and Data Mining valid from 2025-04-28

Version of Record valid from 2025-04-28
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Article History

Received: 20 December 2023

Accepted: 11 April 2025

First Online: 28 April 2025

Declarations

:

: The authors have no conflict of interest to declare that are relevant to the content of this article.

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