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Cédric Peeters
Cédric Peeters
Postdoctoral researcher VUB
Verified email at vub.ac.be
Title
Cited by
Cited by
Year
Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data
C Peeters, Q Leclère, J Antoni, P Lindahl, J Donnald, S Leeb, J Helsen
Mechanical Systems and Signal Processing 129, 407-436, 2019
1582019
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
1342020
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, 2017
1242017
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 7 (1), 387-411, 2022
1222022
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
1082017
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
532022
Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence
F Perez-Sanjines, C Peeters, T Verstraeten, J Antoni, A Nowé, J Helsen
Mechanical Systems and Signal Processing 185, 109760, 2023
382023
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
362022
Vibration-based angular speed estimation for multi-stage wind turbine gearboxes
C Peeters, Q Leclere, J Antoni, P Guillaume, J Helsen
Journal of Physics: Conference Series 842 (1), 012053, 2017
262017
Wind farm operation and maintenance optimization using big data
J Helsen, C Peeters, P Doro, E Ververs, PJ Jordaens
2017 IEEE Third International Conference on big data computing service and …, 2017
222017
Removal of non-stationary harmonics for operational modal analysis in time and frequency domain
PJ Daems, C Peeters, P Guillaume, J Helsen
Mechanical Systems and Signal Processing 165, 108329, 2022
192022
Using a smartphone camera to analyse rotating and vibrating systems: Feedback on the SURVISHNO 2019 contest
H André, Q Leclère, D Anastasio, Y Benaïcha, K Billon, M Birem, ...
Mechanical systems and signal processing 154, 107553, 2021
162021
Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloud-computing environment
J Helsen, C Peeters, T Verstraeten, J Verbeke, N Gioia, A Nowé
International Conference on Noise and Vibration Engineering (ISMA), 17-19, 2018
142018
Informed sparsity-based blind filtering in the presence of second-order cyclostationary noise
K Kestel, C Peeters, J Antoni, Q Leclère, F Girardin, J Helsen
Mechanical Systems and Signal Processing 199, 110438, 2023
102023
Identification of noise, vibration and harshness behavior of wind turbine drivetrain under different operating conditions
N Gioia, C Peeters, P Guillaume, J Helsen
Energies 12 (17), 3401, 2019
102019
Signal pre-processing using cepstral editing for vibration-based bearing fault detection
C Peeters, P Guillaume, J Helsen
Proceedings of the ISMA, 2489-2501, 2016
102016
Investigating parallel multi-step vibration processing pipelines for planetary stage fault detection in wind turbine drivetrains
S Koukoura, C Peeters, J Helsen, J Carroll
Journal of Physics: Conference Series 1618 (2), 022054, 2020
92020
Edge computing for advanced vibration signal processing
T Verstraeten, FG Marulanda, C Peeters, PJ Daems, A Nowé, J Helsen
Surveillance, Vishno and AVE conferences, 2019
92019
Vibration-based rotor-side-converter open-switch-fault detection in DFIGs for wind turbines
MN Soares, J Gyselinck, Y Mollet, C Peeters, N Gioia, J Helsen
2018 IEEE International Conference on Prognostics and Health Management …, 2018
92018
Stochastic simulation assessment of an automated vibration-based condition monitoring framework for wind turbine gearbox faults
C Peeters, N Gioia, J Helsen
Journal of Physics: Conference Series 1037 (3), 032044, 2018
92018
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