Project Details
Description
The project aims to develop tools for further optimising the operation and maintenance of the offshore wind farms, while guaranteeing structural reliability and increasing the chances of extending the life of the offshore wind infrastructure in the Belgian North Sea. In this way, this project can directly contribute to the federal policy on the energy transition and energy supply security. The project wants to use advanced physics-based and data-based so-called "digital twins".
| Short title or EU acronym | SMARTLIFE |
|---|---|
| Acronym | FOD165 |
| Status | Active |
| Effective start/end date | 1/11/23 → 30/04/26 |
Keywords
- smart asset management
- lifetime optimization
- offshore windfarms
Flemish discipline codes in use since 2023
- Wind engineering
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Leveraging Digital Twins for Actionable Damage Identification and Virtual Sensing for Fatigue Life Assessment of Offshore Wind Turbines
Devriendt, C. & Weijtjens, W., 2025, Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025 - Volume 1. Cunha, Á. & Caetano, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1028-1040 13 p. (Lecture Notes in Civil Engineering; vol. 674 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
Structural health monitoring in a population of similar structures with self-supervised learning: a two-stage approach for enhanced damage detection and model tuning
Bel-Hadj, Y., Weijtjens, W. & Devriendt, C., 21 Apr 2025, In: Structural Health Monitoring. p. 1-21 21 p., 0.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)131 Downloads (Pure) -
An Evaluation Framework for Deep Learning-Based Anomaly Detection in Structural Health Monitoring.
Bel-Hadj, Y., Weijtjens, W. & Devriendt, C., Jul 2024, An Evaluation Framework for Deep Learning-Based Anomaly Detection in Structural Health Monitoring.. NDT.net, p. 1-9 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile90 Downloads (Pure)
Projects
- 1 Active
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SRP82: SRP-Onderzoekszwaartepunt: Enhanced Modelling and Monitoring Strategies for Key Technologies
Guillaume, P. (Administrative Promotor), Helsen, J. (Co-Promotor), Devriendt, C. (Co-Promotor) & De Baere, D. J. (CoI (Co-Promotor))
1/10/22 → 30/09/27
Project: Fundamental
Datasets
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Owimetadatabase preprocessor
Melnikov, A. (Creator), Stuyts, B. (Creator), Sastre Jurado, C. (Creator), D'Antuono, P. (Creator), Weijtjens, W. (Creator) & Devriendt, C. (Project Manager), Zenodo, 2024
Dataset