Researcher
Timothy Verstraeten
- Keywords:Computer science (incl. applied informatics), Mechanical engineering
- Disciplines:Machine learning and decision making
Affiliations
- Acoustics & Vibration Research Group (Research group)
Member
From1 Jan 2021 → Today - Engineering Technology (Department)
Member
From1 Apr 2021 → Today - Engineering Technology (Department)
Member
From1 Jan 2021 → 20 Oct 2022 - Engineering Technology (Department)
Member
From1 Jan 2021 → 31 Mar 2021 - Informatics and Applied Informatics (Department)
Member
From1 Jan 2017 → 31 Dec 2020 - Faculty of Sciences and Bioengineering Sciences (Faculty)
Member
From6 Nov 2015 → 11 Mar 2021 - Informatics and Applied Informatics (Department)
Member
From1 Oct 2015 → 31 Dec 2020 - Faculty of Sciences and Bioengineering Sciences (Faculty)
Member
From7 Sep 2013 → 11 Sep 2015
Projects
1 - 1 of 1
- Robust Fleet-Wide Reinforcement LearningFrom1 Jan 2017 → 31 Dec 2020Funding: FWO fellowships
Publications
1 - 10 of 35
- Fatigue crack detection in planetary gears: Insights from the HUMS2023 data challenge(2024)
Authors: Cédric Peeters, Wenyi Wang, David Blunt, Timothy Verstraeten, Jan Helsen
Pages: 1-26 - Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps(2023)Series: Proceedings of the ASME Turbo ExpoVolume: 14
Authors: Fabian Ramiro Perez Sanjines, Cédric Peeters, Timothy Verstraeten, Ivo Vervlimmeren, Ann Nowe, Jan Helsen
Number of pages: 9 - Wind turbine drivetrain fault detection using physics-informed multivariate deep learning(2023)
Authors: Faras Jamil, Cédric Peeters, Timothy Verstraeten, Jan Helsen
Number of pages: 9 - Wind Power Prediction using Multi-Task Gaussian Process Regression with Lagged Inputs(2023)Edition: 1Series: Journal of Physics: Conference SeriesVolume: 2505
Authors: Francisco Javier Jara Avila, Timothy Verstraeten, Konstantinos Vratsinis, Ann Nowe, Jan Helsen
Number of pages: 12 - Pattern mining based data fusion for wind turbine condition monitoring(2023)Edition: 1Series: Journal of Physics: Conference SeriesVolume: 2507
Authors: Xavier Chesterman, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowe, Jan Helsen
Number of pages: 13 - Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms(2023)
Authors: Xavier Chesterman, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowe, Jan Helsen
Pages: 893–924 - A Brief Guide to Multi-Objective Reinforcement Learning and Planning(2023)Series: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMASVolume: 2023-May
Authors: Conor F. Hayes, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Timothy Verstraeten, Luisa Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, et al.
Pages: 1988-1990Number of pages: 3 - Effect of curtailment scenarios on the loads and lifetime of offshore wind turbine generator support structures(2023)
Authors: Koen Robbelein, Pieter-Jan Daems, Timothy Verstraeten, Nymfa Noppe, Wout Weijtjens, Jan Helsen, Christof Devriendt
- Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence(2023)
Authors: Fabian Ramiro Perez Sanjines, Cédric Peeters, Timothy Verstraeten, Jérôme Antoni, Ann Nowe, Jan Helsen
- A deep boosted transfer learning method for wind turbine gearbox fault detection(2022)
Authors: Faras Jamil, Timothy Verstraeten, Ann Nowe, Cédric Peeters, Jan Helsen
Pages: 331-341