Projecten per jaar
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Projecten
- 2 Afgelopen
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OZR4169: OZR opvangmandaat post doc Cédric Peeters
Helsen, J. (Administrative Promotor) & Peeters, C. (Administrative Promotor)
1/10/23 → 30/09/24
Project: Fundamenteel
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FWOTM995: Conditie monitoring van traag draaiende componenten in wind turbine aandrijflijnen gebruikmakend van nieuwe signaalverwerkingstechnieken op de instantane hoeksnelheid
Peeters, C. (Administrative Promotor)
1/10/20 → 30/09/23
Project: Fundamenteel
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Early Fault Detection in Rotating Machinery via Multivariate Autoencoder-Based Indicator Fusion
Jamil, F., Sudhakaran, N., Liu, X., Stammler, M., Abrahamsen, A., Peeters, C. & Helsen, J., 3 jul. 2026, Proceedings of the 9th European Conference of the PHM Society 2026. 1 uitgave PHM Society, Vol. 9. 10 blz. (PHM Society European Conference).Onderzoeksoutput: Conference paper
Open Access -
Interpretable U-Net RCNN for blind peak detection in vibration spectra
Protopapadakis, G. E., Borghesani, P., Peeters, C., Herwig, N., Smith, W. A., Peng, Z. & Helsen, J., 1 okt. 2026, In: Mechanical Systems and Signal Processing. 18 blz.Onderzoeksoutput: Article › peer review
Open Access -
Predicting wind turbine operating conditions from drivetrain vibration signals using multivariate deep learning regression
Jamil, F., Kestel, K., Peeters, C. & Helsen, J., 28 mei 2026, In: Journal of Physics: Conference Series. 3224, 11 blz., 062073.Onderzoeksoutput: Conference paper
Open Access -
Predicting wind turbine operating conditions from drivetrain vibration signals using multivariate deep learning regression.
Jamil, F., Kestel, K., Peeters, C. & Helsen, J., 4 jun. 2026.Onderzoeksoutput: Poster
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Blind peak detection in vibration spectra using Region-based Convolutional Neural Networks
Protopapadakis, G., Borghesani, P., Peeters, C., Herwig, N., Smith, W., Peng, Z. & Helsen, J., 2025, 21st Australian International Aerospace Congress, Health and Usage Monitoring Systems (HUMS). 6 blz.Onderzoeksoutput: Conference paper
Open Access
Datasets
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Data for: Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data
Peeters, C. (Creator), Mendeley Data, 2019
DOI: 10.17632/s8jrrnnj9g.1, http://10.1016/j.ymssp.2019.02.031
Dataset
Prijzen
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1st place for best trending capability at HUMS2023 data competition
Peeters, C. (Recipient), 27 feb. 2023
Prijs: Prize (including medals and awards)
Bestand -
1st place for earliest convincing detection at HUMS2023 data competition
Peeters, C. (Recipient), 27 feb. 2023
Prijs: Prize (including medals and awards)
Bestand -
Best student paper award
Peeters, C. (Recipient), 12 jul. 2017
Prijs: Prize (including medals and awards)
Bestand
Activiteiten
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Automated condition monitoring using spectral autoencoders for fault detection in mechanical systems.
Jamil, F. (Speaker), Peeters, C. (Contributor) & Helsen, J. (Contributor)
18 feb. 2025Activiteit: Talk or presentation at a conference
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Fault detection and degradation trending using hybrid intelligence techniques and multi-source transfer learning
Jamil, F. (Recipient), Helsen, J. (Supervisor), Peeters, C. (Supervisor), Verstraeten, T. (Supervisor) & Nowe, A. (Supervisor)
1 nov. 2022 → 31 okt. 2026Activiteit: Written proposal
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Novel hybrid gearbox signal model development for condition monitoring
Kestel, K. (Speaker), Peeters, C. (Contributor), Verstraeten, T. (Contributor) & Helsen, J. (Contributor)
25 mei 2021 → 28 mei 2021Activiteit: Talk or presentation at a conference
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Stay for Joint PhD at LVA, at INSA Lyon, France
Peeters, C. (Participant)
18 jan. 2018 → 6 jul. 2018Activiteit: Research and Teaching at External Organisation
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International Conference on Damage Assessment of Structures
Peeters, C. (Participant)
11 jul. 2017Activiteit: Participation in conference