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Jan Helsen
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Multibody modelling of varying complexity for modal behaviour analysis of wind turbine gearboxes
J Helsen, F Vanhollebeke, B Marrant, D Vandepitte, W Desmet
Renewable energy 36 (11), 3098-3113, 2011
2032011
Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data
C Peeters, Q Leclere, J Antoni, P Lindahl, J Donnal, S Leeb, J Helsen
Mechanical Systems and Signal Processing 129, 407-436, 2019
1362019
Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring
C Peeters, J Antoni, J Helsen
Mechanical Systems and Signal Processing 138, 106556, 2020
1162020
Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy
C Peeters, P Guillaume, J Helsen
Renewable Energy 116, 74-87, 2018
1142018
A comparison of cepstral editing methods as signal pre-processing techniques for vibration-based bearing fault detection
C Peeters, P Guillaume, J Helsen
Mechanical Systems and Signal Processing 91, 354-381, 2017
1002017
Insights in wind turbine drive train dynamics gathered by validating advanced models on a newly developed 13.2 MW dynamically controlled test-rig
J Helsen, F Vanhollebeke, F De Coninck, D Vandepitte, W Desmet
Mechatronics 21 (4), 737-752, 2011
942011
Wind turbine drivetrains: state-of-the-art technologies and future development trends
AR Nejad, J Keller, Y Guo, S Sheng, H Polinder, S Watson, J Dong, Z Qin, ...
Wind Energy Science Discussions 2021, 1-35, 2021
892021
The dynamic behavior induced by different wind turbine gearbox suspension methods assessed by means of the flexible multibody technique
J Helsen, P Peeters, K Vanslambrouck, F Vanhollebeke, W Desmet
Renewable Energy 69, 336-346, 2014
502014
The influence of flexibility within multibody modeling of multi-megawatt wind turbine gearboxes
J Helsen, G Heirman, D Vandepitte, W Desmet
Proceedings of the International Conference on Noise and Vibration …, 2008
402008
Experimental investigation of bearing slip in a wind turbine gearbox during a transient grid loss event
J Helsen, Y Guo, J Keller, P Guillaume
Wind Energy 19 (12), 2255-2269, 2016
392016
Global static and dynamic car body stiffness based on a single experimental modal analysis test
J Helsen, L Cremers, P Mas, P Sas
Proceedings of the International Conference on Noise and Vibrations …, 2010
392010
Assessment of excitation mechanisms and structural flexibility influence in excitation propagation in multi-megawatt wind turbine gearboxes: experiments and flexible multibody …
J Helsen, B Marrant, F Vanhollebeke, F De Coninck, D Berckmans, ...
Mechanical Systems and Signal Processing 40 (1), 114-135, 2013
362013
A deep boosted transfer learning method for wind turbine gearbox fault detection
F Jamil, T Verstraeten, A Nowé, C Peeters, J Helsen
Renewable Energy 197, 331-341, 2022
322022
Fleetwide data-enabled reliability improvement of wind turbines
T Verstraeten, A Nowé, J Keller, Y Guo, S Sheng, J Helsen
Renewable and Sustainable Energy Reviews 109, 428-437, 2019
312019
MiCLAD as a platform for real-time monitoring and machine learning in laser metal deposition
J Ertveldt, P Guillaume, J Helsen
Procedia CIRP 94, 456-461, 2020
292020
The dynamics of high power density gear units with focus on the wind turbine application
J Helsen
Phd, Katholieken Universiteit Leuven, 2012
292012
Large scale validation of a flexible multibody wind turbine gearbox model
F Vanhollebeke, P Peeters, J Helsen, E Di Lorenzo, S Manzato, J Peeters, ...
Journal of Computational and Nonlinear Dynamics 10 (4), 041006, 2015
272015
Multi-harmonic phase demodulation method for instantaneous angular speed estimation using harmonic weighting
C Peeters, J Antoni, Q Leclère, T Verstraeten, J Helsen
Mechanical Systems and Signal Processing 167, 108533, 2022
262022
Multi-agent thompson sampling for bandit applications with sparse neighbourhood structures
T Verstraeten, E Bargiacchi, PJK Libin, J Helsen, DM Roijers, A Nowé
Scientific reports 10 (1), 6728, 2020
262020
Long-term monitoring of wind farms using big data approach
J Helsen, G De Sitter, PJ Jordaens
2016 IEEE Second International Conference on Big Data Computing Service and …, 2016
252016
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