Projecten per jaar
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Cédric Peeters actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Netwerk
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
Projecten
- 1 Actief
Onderzoeksoutput
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Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence
Perez Sanjines, F. R., Peeters, C., Verstraeten, T., Antoni, J., Nowe, A. & Helsen, J., 15 feb 2023, In: Mechanical Systems and Signal Processing. 185, 17 blz., 109760.Onderzoeksoutput: Article › peer review
1 Citaat (Scopus) -
A deep boosted transfer learning method for wind turbine gearbox fault detection
Jamil, F., Verstraeten, T., Nowé, A., Peeters, C. & Helsen, J., sep 2022, In: Renewable Energy. 197, blz. 331-341 11 blz.Onderzoeksoutput: Article › peer review
Bestand5 Citaten (Scopus)60 Downloads (Pure) -
A discussion on the differences between the cyclic spectral correlation and coherence for cyclostationarity-based condition monitoring
Kestel, K. & Peeters, C., 28 okt 2022, Proceedings of the Annual Conference of the PHM Society 2022. 1 redactie PHM Society, Vol. 14.Onderzoeksoutput: Conference paper
Open AccessBestand32 Downloads (Pure) -
BEARING FAULT DETECTION ON WIND TURBINE GEARBOX VIBRATIONS USING GENERALIZED LIKELIHOOD RATIO-BASED INDICATORS
Kestel, K., Peeters, C., Antoni, J., Sheng, S. & Helsen, J., 2022, Proceedings of the ASME 2022 Turbomachinery Technical Conference & Exposition. American Society of Mechanical Engineers(ASME), Vol. 11. blz. 1-12 12 blz. V011T38A005. (Proceedings of the ASME Turbo Expo; vol. 11).Onderzoeksoutput: Conference paper
1 Citaat (Scopus) -
Blind deconvolution based on higher-order cyclostationarity for vibration-based fault detection
Nitti, M., Peeters, C., Kestel, K., Marini, R. & Helsen, J., 15 jul 2022, Proceeding of ISMA-USD 2022. ISMA 2022, blz. 1-11 11 blz.Onderzoeksoutput: Conference paper
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, Cédric (Recipient), 27 feb 2023
Prijs: Prize (including medals and awards)
Bestand -
1st place for earliest convincing detection at HUMS2023 data competition
Peeters, Cédric (Recipient), 27 feb 2023
Prijs: Prize (including medals and awards)
Bestand -
Best student paper award
Peeters, Cédric (Recipient), 12 jul 2017
Prijs: Prize (including medals and awards)
Bestand
Activiteiten
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Fault detection and degradation trending using hybrid intelligence techniques and multi-source transfer learning
Faras Jamil (Recipient), Jan Helsen (Supervisor), Cédric Peeters (Supervisor), Timothy Verstraeten (Supervisor) & Ann Nowe (Supervisor)
1 nov 2022 → 31 okt 2026Activiteit: Written proposal
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Novel hybrid gearbox signal model development for condition monitoring
Kayacan Kestel (Speaker), Cédric Peeters (Contributor), Timothy Verstraeten (Contributor) & Jan Helsen (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
Cédric Peeters (Participant)
18 jan 2018 → 6 jul 2018Activiteit: Research and Teaching at External Organisation
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International Conference on Damage Assessment of Structures
Cédric Peeters (Participant)
11 jul 2017Activiteit: Participation in conference
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13th EAWE PhD Seminar on Wind Energy
Cédric Peeters (Participant)
20 sep 2017Activiteit: Participation in conference