Cédric Peeters
Cédric Peeters
Postdoctoral researcher VUB
Verified email at vub.ac.be
Title
Cited by
Cited by
Year
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
532017
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
452017
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
192019
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
92017
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
72017
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
62020
Vibration data pre-processing techniques for rolling element bearing fault detection
C Peeters, P Guillaume, J Helsen
52016
Influence of the harmonics on the modal behavior of wind turbine drivetrains
N Gioia, PJ Daems, C Peeters, M El-Kafafy, P Guillaume, J Helsen
Rotating Machinery, Vibro-Acoustics & Laser Vibrometry, Volume 7, 231-238, 2019
42019
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
42018
Vibration-based bearing fault detection on experimental wind turbine gearbox data
C Peeters, P Guillaume, J Helsen
32016
Integrated condition monitoring of a fleet of offshore wind turbines with focus on acceleration streaming processing
J Helsen, N Gioia, C Peeters, PJ Jordaens
Proceedings of 12th International Conference on Damage Assessment of Structures, 2017
22017
Edge computing for advanced vibration signal processing
T Verstraeten, FG Marulanda, C Peeters, PJ Daems, A Nowé, J Helsen
12019
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
12019
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), 2018
12018
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), 2018
12018
Rotating Machines System Identification by Means of Big Data Analysis
N Gioia, C Peeters, PJ Daems, P Guillaume, J Helsen
Proceedings of 9th European Workshop on Structural Health Monitoring …, 2018
12018
A novel multi-harmonic demodulation technique for instantaneous speed estimation
C Peeters, J Antoni, N Gioia, P Guillaume, J Helsen
ISMA2018, 2018
12018
Signal pre-processing using cepstral editing for vibration-based bearing fault detection
C Peeters, P Guillaume, J Helsen
1
Gaining Insights in Loading Events for Wind Turbine Drivetrain Prognostics
PJ Daems, Y Guo, S Sheng, C Peeters, P Guillaume, J Helsen
Turbo Expo: Power for Land, Sea, and Air 84249, V012T42A010, 2020
2020
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
2020
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Articles 1–20