Projects per year
Organisation profile
Organisation profile
The Acoustics & Vibration Research Group (AVRG) central goal is to conduct fundamental and applied research in the broad field of Acoustics & Vibration, with special emphasis on Experimental and Operational Modal Analysis, Frequency-Domain Maximum Likelihood Identification of Multivariable Systems, Damage Assessment, Optical Measurement Techniques and Sound Quality.
Keywords
- Acoustics
- Mechanical vibration
Fingerprint
Dive into the research topics where Acoustics & Vibration Research Group is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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
Profiles
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Yacine Bel-Hadj
- Vrije Universiteit Brussel
- Applied Mechanics - Doctoral scholarschip
- Faculty of Engineering
- Acoustics & Vibration Research Group
Person: Researcher, PhD, Doctoral student
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Xavier Chesterman
- Vrije Universiteit Brussel
- Informatics and Applied Informatics - postdoctoral researcher
- Federated labs AI and Robotics
- Acoustics & Vibration Research Group
Person: Researcher, Doctoral student
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Pieter-Jan Daems
- Vrije Universiteit Brussel
- Engineering Technology - postdoctoral researcher
- Acoustics & Vibration Research Group
Person: Researcher, Doctoral student
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Pietro D'Antuono
- Vrije Universiteit Brussel
- Applied Mechanics - postdoctoral researcher
- Acoustics & Vibration Research Group
Person: Researcher
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OZR4367 : Exploration of strategic fundamental pillars for unlocking key potential of metal hybrid 3D printing
1/12/24 → 30/11/28
Project: Fundamental
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FWOSBO62: SBO project with the primary economic finality aimed at the transfer to existing companies: Fatigue and roughness Optimisation to tRigger susTainable advanced Additive Manufacturing applications
De Baere, D. J., Nowe, A., De Graeve, I., Van Hemelrijck, D., Pyl, L. & Hinderdael, M.
1/10/24 → 30/09/28
Project: Applied
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VLADBC11: cSBO: ICON: Cloud-edge-AI supported O&M for a fleet of offshore wind turbines
1/09/24 → 31/08/27
Project: Applied
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FWOEUAR1: Sustainable Blue Economy Partnership - SBO Project INSPIRE
1/07/24 → 30/06/27
Project: Applied
Research output
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Advanced simulations of monitored wind turbine monopiles located in the Belgian North Sea under operational quasi-static loading
Kheffache, A., Stuyts, B., Sastre Jurado, C., Devriendt, C. & Troch, P., 9 Aug 2024, In: Ocean Engineering. 311, 23 p., 118914.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
An Evaluation Framework for Deep Learning-Based Anomaly Detection in Structural Health Monitoring.
Bel-Hadj, Y., Weijtjens, W. & Devriendt, C., Jul 2024, An Evaluation Framework for Deep Learning-Based Anomaly Detection in Structural Health Monitoring.. NDT.net, p. 1-9 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile37 Downloads (Pure) -
Benchmarking Measured Eigenfrequencies: A Case Study of a North Sea Offshore Wind Farm
Sastre Jurado, C., Weijtjens, W., Stuyts, B., Winkler, K., Fallais, D. & Devriendt, C., 9 Aug 2024, Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Singapore: American Society of Mechanical Engineers(ASME), Vol. Volume 5A: Ocean Engineering. 10 p. OMAE2024-125634. (Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE; vol. 5A-2024).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Comparative analysis of vibration and angular speed signals using synchronized data acquisition for bearing fault detection
Matthys, J. J., Peeters, C., Protopapadakis, G. E., Sterckx, J. & Helsen, J., 2024, (Unpublished) Proceedings ISMA2024. Katholieke Universiteit Leuven - Department of Mechanical Engineering LMSD (Mecha(tro)nic System Dynamics), p. 566-579 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Comparison of modal behaviour in wind turbines based on drivetrain measurements
Gebel, J. V., Daems, P-J., Matthys, J. J., Vratsinis, K., Sterckx, J., Kestel, K., Nejad, A. & Helsen, J., 11 Sep 2024, Proceedings ISMA-USD2024.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
Activities
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Wind and Precipitation Conditions in Offshore Wind Farm Zones: Insights from Satellites and Weather Simulations
Tsvetelina Ivanova (Speaker), Alexandros Palatos-Plexidas (Contributor), Sara Porchetta (Contributor), Sophia Buckingham (Contributor), Jeroen Van Beeck (Contributor), Lesley De Cruz (Contributor), Jan Helsen (Contributor) & Wim Munters (Contributor)
15 Jan 2025Activity: Talk or presentation › Talk or presentation at a conference
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Investigating North Sea Precipitation Variability: Implications for Offshore Wind Energy
Tsvetelina Ivanova (Speaker), Sara Porchetta (Contributor), Sophia Buckingham (Contributor), Jan Helsen (Contributor), Jeroen Van Beeck (Contributor) & Wim Munters (Speaker)
15 Mar 2024Activity: Talk or presentation › Talk or presentation at a conference
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Validation of a model-based dual-band modal decomposition and expansion approach for fatigue monitoring of offshore wind turbine foundations
Dominik Fallais (Speaker)
Jun 2024Activity: Talk or presentation › Talk or presentation at a conference
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WindEurope Annual Event 2024 (Event)
Rebeca Marini (Peer reviewer)
12 Feb 2024Activity: Publication peer-review and editorial work › Editorial activity
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Uncertainty quantification of wind turbine fatigue lifetime predictions through binning
Negin Sadeghi (Speaker)
2024Activity: Talk or presentation › Talk or presentation at a conference
Equipment
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A new state-of-the-art motion capturing system for testing new emerging offshore and coastal engineering technologies in the new "Coastal & Ocean wave Basin (COB)" in Ostend
Christof Devriendt (Consortium partner)
Applied MechanicsFacility/equipment: Equipment › no e-resource/single sited
Datasets
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Experimental Validation of Automated OMA and Mode Tracking for Structural Health Monitoring of Transmission Towers
Bel-Hadj, Y. (Creator) & Weijtjens, W. (Related person), Zenodo, 4 Oct 2023
Dataset
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Dataset of Hyperspectral Melt Pool Signatures and Thermal Anomalies in DED of 316L steel
Snyers, C. (Creator), Ertveldt, J. (Project Leader) & Helsen, J. (Creator), Zenodo, 20 Dec 2023
DOI: 10.5281/zenodo.10409569, https://zenodo.org/records/10409569
Dataset
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Multivariate prediction on wake-affected wind turbines using graph neural networks (Eurodyn) database
De Nolasco Santos, F. (Creator), Duthé, G. (Creator), Abdallah, I. (Creator), Réthoré, P. (Researcher), Weijtjens, W. (Supervisor), Chatzi, E. (Supervisor) & Devriendt, C. (Supervisor), Zenodo, 22 Mar 2023
Dataset
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Ambient vibration test of wind turbine blade in OWI-lab's Large Climate Chamber
Weijtjens, W. (Creator), Fernandes de Oliveira Junior, A. (Creator), Cloet, B. (Project Member), Ceyhan Yilmaz, O. (Project Member) & Devriendt, C. (Work Package Leader), Zenodo, 2023
Dataset
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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