Projects per year
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Dive into the research topics where Cédric Peeters is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
Research output
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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 p., 109760.Research output: Contribution to journal › Article › peer-review
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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, p. 331-341 11 p.Research output: Contribution to journal › Article › peer-review
File4 Citations (Scopus)53 Downloads (Pure) -
A discussion on the differences between the cyclic spectral correlation and coherence for cyclostationarity-based condition monitoring
Kestel, K. & Peeters, C., 28 Oct 2022, Proceedings of the Annual Conference of the PHM Society 2022. 1 ed. PHM Society, Vol. 14.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile31 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. p. 1-12 12 p. V011T38A005. (Proceedings of the ASME Turbo Expo; vol. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
1 Citation (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, p. 1-11 11 p.Research output: Chapter in Book/Report/Conference proceeding › 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
Prizes
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1st place for best trending capability at HUMS2023 data competition
Peeters, Cédric (Recipient), 27 Feb 2023
Prize: Prize (including medals and awards)
File -
1st place for earliest convincing detection at HUMS2023 data competition
Peeters, Cédric (Recipient), 27 Feb 2023
Prize: Prize (including medals and awards)
File -
Best student paper award
Peeters, Cédric (Recipient), 12 Jul 2017
Prize: Prize (including medals and awards)
File
Activities
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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 Oct 2026Activity: Other › 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 May 2021 → 28 May 2021Activity: Talk or presentation › 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 2018Activity: Other › Research and Teaching at External Organisation
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International Conference on Damage Assessment of Structures
Cédric Peeters (Participant)
11 Jul 2017Activity: Participating in or organising an event › Participation in conference
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13th EAWE PhD Seminar on Wind Energy
Cédric Peeters (Participant)
20 Sep 2017Activity: Participating in or organising an event › Participation in conference