Researcher
Francisco De Nolasco Santos
- Keywords:Mechanical engineering
Affiliations
- Acoustics & Vibration Research Group (Research group)
Member
From1 Oct 2019 → Today - Applied Mechanics (Department)
Member
From1 Oct 2023 → 31 Jan 2024 - Faculty of Engineering (Faculty)
Member
From5 Nov 2019 → 14 Dec 2023 - Applied Mechanics (Department)
Member
From1 Oct 2019 → 30 Sep 2023 - Applied Mechanics (Department)
Member
From1 Oct 2019 → 20 Oct 2022
Publications
1 - 8 of 8
- Farm-wide interface fatigue loads estimation: A data-driven approach based on accelerometers(2024)
Authors: Francisco De Nolasco Santos, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Pages: 321-340 - Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks(2023)
Authors: Nandar Hlaing, Pablo G. Morato, Francisco De Nolasco Santos, Wout Weijtjens, Christof Devriendt, Philippe Rigo
Pages: 1-23 - Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks(2023)
Authors: Francisco De Nolasco Santos, Pietro D'Antuono, Koen Robbelein, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Pages: 461-474 - Local flow and loads estimation on wake-affected wind turbines using graph neural networks and PyWake(2023)
Authors: Gregory Duthé, Francisco De Nolasco Santos, Imad Abdallah, Pierre-Élouan Réthoré, Wout Weijtjens, Eleni Chatzi, Christof Devriendt
- Fleetwide Interface Fatigue Load Prediction of an Operational Offshore Wind Farm Using a Single Accelerometer and SCADA Data(2023)
Authors: Francisco De Nolasco Santos, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Pages: 2722-2732Number of pages: 11 - Anomaly detection and representation learning in an instrumented railway bridge(2022)
Authors: Yacine Bel-Hadj, Francisco De Nolasco Santos, Wout Weijtjens
Pages: 299-304Number of pages: 6 - Two-tier model for wind turbine fatigue assessment based on SCADA-dependent neural networks(2021)
Authors: Francisco De Nolasco Santos, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Number of pages: 6 - SCADA-based neural network thrust load model for fatigue assessment: cross validation with in-situ measurements(2020)Edition: 2Series: Journal of Physics: Conference SeriesVolume: 1618
Authors: Francisco De Nolasco Santos, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Number of pages: 10
Linked dataset
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