Vrije Universiteit Brussel; Faculteit Ingenieurswetenschappen; Vakgroep Toegepaste Mechanica (MECH), meer
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| A1 publicaties (4) [show] |
 Chesterman, X.; Verstraeten, T.; Daems, P.J.; Nowé, A.; Helsen, J. (2023). Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms. Wind Energy Science 8(6): 893-924. https://dx.doi.org/10.5194/wes-8-893-2023, meer- Daems, P.-J.; Peeters, C.; Matthys, J.; Verstraeten, T.; Helsen, J. (2023). Fleet-wide analytics on field data targeting condition and lifetime aspects of wind turbine drivetrains. Forschung im Ingenieurwesen-Engineering Research 87(1): 285-295. https://dx.doi.org/10.1007/s10010-023-00643-0, meer
- Nejad, A.R.; Keller, J.; Guo, Y.; Sheng, S.; Polinder, H.; Watson, S.; Dong, J.; Qin, Z.; Ebrahimi, A.; Schelenz, R.; Gutiérrez Guzmán, F.; Cornel, D.; Golafshan, R.; Jacobs, G.; Blockmans, B.; Carroll, J.; Koukoura, S.; Hart, E.; McDonald, A.; Natarajan, A.; Torsvik, J.; Moghadam, F.K.; Daems, P.-J.; Verstraeten, T.; Peeters, C.; Helsen, J. (2022). Wind turbine drivetrains: state-of-the-art technologies and future development trends. Wind Energy Science 7(1): 387-411. https://dx.doi.org/10.5194/wes-7-387-2022, meer
- Daems, P.-J.; Verstraeten, T.; Peeters, C.; Helsen, J. (2021). Effects of wake on gearbox design load cases identified from fleet-wide operational data. Forschung im Ingenieurwesen-Engineering Research 85: 553-558. https://hdl.handle.net/10.1007/s10010-021-00444-3, meer
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| Peer reviewed publicatie [show] |
- Robbelein, K.; Daems, P.-J.; Verstraeten, T.; Noppe, N.; Weijtjens, W.; Helsen, J.; Devriendt, C. (2023). Effect of curtailment scenarios on the loads and lifetime of offshore wind turbine generator support structures. Journal of Physics: Conference Series 2507: 012013. https://dx.doi.org/10.1088/1742-6596/2507/1/012013, meer
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| Boekhoofdstukken (5) [show] |
- Daems, P.-J.; Gioia, N.; Peeters, C.; Helsen, T.; Guillaume, P. (2019). Long-term modal behaviour assessment of wind turbine drivetrains, in: Amador, S.D.R. et al. 8th International Operational Modal Analysis Conference (IOMAC 2019). pp. 749-755, meer
- Gioia, N.; Daems, P.J.; Peeters, C.; El-Kafafy, M.; Guillaume, P.; Helsen, J. (2019). Influence of the harmonics on the modal behavior of wind turbine drivetrains, in: Di Maio, D. (Ed.) Rotating machinery, vibro-acoustics & laser vibrometry, volume 7. pp. 231-238. https://hdl.handle.net/10.1007/978-3-319-74693-7_22, meer
- Gioia, N.; Daems, P.J.; Peeters, C.; Guillaume, P.; Helsen, J.; Medico, R.; Deschrijver, D. (2019). Gaining insight in wind turbine drivetrain dynamics by means of automatic operational modal analysis combined with machine learning algorithms, in: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering - Volume 10: Ocean Renewable Energy. pp. 7, meer
- Peeters, C.; Verstraeten, T.; Nowé, A.; Daems, P.-J.; Helsen, J. (2019). Advanced vibration signal procesing using edge computing to monitor wind turbine drivetrains, in: ASME 2019 2nd International Offshore Wind Technical Conference. pp. 6, meer
- Gioia, N.; Peeters, C.; Daems, P.J.; Guillaume, P.; Helsen, J. (2018). Dealing with harmonics in continuous modal analysis, in: Desmet, W. et al. Proceedings of ISMA2018 - International Conference on Noise and Vibration Engineering &
USD2018 - International Conference on Uncertainty in Structural Dynamics. pp. 2819-2828, meer
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