Projects per year
Fingerprint
Dive into the research topics where Faras Jamil is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
FWOSB143: Fault detection and degradation trending using hybrid intelligence techniques and multi-source transfer learning
Helsen, J. (Administrative Promotor), Nowe, A. (Co-Promotor) & Jamil, F. (Mandate)
1/11/22 → 31/10/26
Project: Fundamental
-
OZR3820: Backup mandate Research Council: Multi-Machine Fault Detection for Wind Turbines using Deep Transfer Learning.
Helsen, J. (Administrative Promotor) & Jamil, F. (Mandate)
1/11/21 → 31/10/22
Project: Fundamental
-
Farm-wide dynamic drivetrain event and diagnosis tracking using multi-modal data
Kestel, K., Chesterman, X., Jamil, F., Matthys, J. J., Vratsinis, K., Sterckx, J., Peeters, C. & Helsen, J., Dec 2025, Farm-wide dynamic drivetrain event and diagnosis tracking using multi-modal data. 1 ed. Springer Nature, Vol. 89. p. 1-16 16 p. (Forschung im Ingenieurwesen/Engineering Research).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
Leveraging signal processing and machine learning for automated fault detection in wind turbine drivetrains
Jamil, F., Peeters, C., Verstraeten, T. & Helsen, J., 11 Sept 2025, In: Wind Energy Science. 10, 9, p. 1963–1978 16 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Offshore field experimentation for novel hybrid condition monitoring approaches
Kestel, K., Jamil, F., Matthys, J. J., Vratsinis, K., Sterckx, J., Marini, R., Peeters, C. & Helsen, J., Apr 2024, In: Journal of Physics: Conference Series. 2745, 1, 12 p., 012009.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure) -
Wind turbine drivetrain health monitoring using physics informed deep learning.
Jamil, F., Peeters, C. & Helsen, J., 14 Oct 2024.Research output: Unpublished contribution to conference › Poster
File22 Downloads (Pure) -
Hybrid signal processing and data-driven approaches for vibration-based condition monitoring of a fleet of wind turbine drivetrain
Peeters, C., Kestel, K., Daems, P.-J., Matthys, J. J., Protopapadakis, G. E., Perez Sanjines, F. R., Jamil, F., Verstraeten, T. & Helsen, J., 2023, Colloque Francophone de Traitement du Signal et des Images. p. 1-4 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile5 Downloads (Pure)
Activities
-
Belgian Offshore Wind PhD Day 2025 Pitch
Jamil, F. (Presenter)
24 Sept 2025Activity: Other › CERL: Community Engaged Research and Learning activities
-
DTU Wind And Energy Systems, Technical University of Denmark, Roskilde, Denmark research stay
Jamil, F. (Visitor), Guo, Y. (Supervisor) & Helsen, J. (Supervisor)
1 Feb 2025 → 30 Apr 2025Activity: Other › Research and Teaching at External Organisation
-
Automated condition monitoring using spectral autoencoders for fault detection in mechanical systems.
Jamil, F. (Speaker), Peeters, C. (Contributor) & Helsen, J. (Contributor)
18 Feb 2025Activity: Talk or presentation › Talk or presentation at a conference
-
A Hybrid Method for Fault Detection of Wind Turbine Drivetrains Using Machine Learning and Signal processing.
Jamil, F. (Speaker)
25 May 2023Activity: Talk or presentation › Talk or presentation at a conference
-
Wind turbine drivetrain fault detection using physics-informed multivariate deep learning
Jamil, F. (Speaker)
12 Jul 2023Activity: Talk or presentation › Talk or presentation at a conference