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Vrije Universiteit Brussel: Brussels, BE

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Vrije Universiteit Brussel

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Vrije Universiteit Brussel: Brussels, BE

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Vrije Universiteit Brussel

Works (37)

Impact of inflow conditions and turbine placement on the performance of offshore wind turbines exceeding 7 MW

2025-03-04 | Preprint
DOI: 10.5194/wes-2025-32
Contributors: Konstantinos Vratsinis; Rebeca Marini; Pieter-Jan Daems; Lukas Pauscher; Jeroen van Beeck; Jan Helsen
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Crossref

System identification of offshore wind turbines for model updating and validation using field measurements

2025-02-21 | Preprint
DOI: 10.5194/wes-2024-173
Contributors: Jakob Gebel; Ashkan Rezaei; Adithya Vemuri; Veronica Liverud Krathe; Pieter-Jan Daems; Jens Jo Matthys; Jonathan Sterckx; Konstantinos Vratsinis; Kayacan Kestel; Amir R. Nejad et al.
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Crossref

Assessing the impact of wind profiles at offshore wind farm sites for field data-enabled design

2025-02-11 | Preprint
DOI: 10.5194/wes-2025-9
Contributors: Rebeca Marini; Konstantinos Vratsinis; Kayacan Kestel; Jonathan Sterckx; Jens Matthys; Pieter-Jan Daems; Timothy Verstraeten; Jan Helsen
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Crossref

Experimental investigation of the relation between operating conditions and offshore wind turbine drivetrain dynamics

EERA DeepWind Conference 2024
2024-11-05 | Conference paper | Author
SOURCE-WORK-ID:

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Contributors: Kayacan Kestel; Cédric Peeters; Konstantinos Vratsinis; Jens Matthys; Jonathan Sterckx; Pieter-Jan Daems; Jan Helsen
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Vrije Universiteit Brussel

Spatio-Temporal Graph Neural Networks for Power Prediction in Offshore Wind Farms Using SCADA Data

2024-09-23 | Preprint
DOI: 10.5194/wes-2024-113
Contributors: Simon Daenens; Timothy Verstraeten; Pieter-Jan Daems; Ann Nowé; Jan Helsen
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Crossref

Modular deep learning approach for wind farm power forecasting and wake loss prediction

2024-09-05 | Preprint
DOI: 10.5194/wes-2024-94
Contributors: Stijn Ally; Timothy Verstraeten; Pieter-Jan Daems; Ann Nowé; Jan Helsen
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Crossref

Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm

Wind Energy Science
2024-07-12 | Journal article
DOI: 10.5194/wes-9-1507-2024
Contributors: Diederik van Binsbergen; Pieter-Jan Daems; Timothy Verstraeten; Amir R. Nejad; Jan Helsen
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Performance comparison of analytical wake models calibrated on a large offshore wind cluster

Journal of Physics: Conference Series
2024-06-01 | Journal article | Author
DOI: 10.1088/1742-6596/2767/9/092059
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Diederik van Binsbergen; Pieter-Jan Daems; Timothy Verstraeten; Amir R. Nejad; Jan Helsen
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Vrije Universiteit Brussel

Scalable SCADA-Based Calibration for Analytical Wake Models Across an Offshore Cluster

Journal of Physics: Conference Series
2024-05-03 | Journal article | Author
DOI: 10.1088/1742-6596/2745/1/012014
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Diederik van Binsbergen; Pieter-Jan Daems; Timothy Verstraeten; Amir R. Nejad; Jan Helsen
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Vrije Universiteit Brussel

Automated assessment of wind turbine loading and dynamics using SCADA and vibration data

2023 | Dissertation or Thesis | Author
SOURCE-WORK-ID:

83f40ccc-97b9-4aca-b633-57b2cf68d6d5
Contributors: Pieter-Jan Daems
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Vrije Universiteit Brussel

Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm applied on FLORIS

2023-08-21 | Preprint
DOI: 10.5194/wes-2023-98
Contributors: Diederik van Binsbergen; Pieter-Jan Daems; Timothy Verstraeten; Amir Nejad; Jan Helsen
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Crossref

Pattern mining based data fusion for wind turbine condition monitoring

Journal of Physics: Conference Series
2023-06-21 | Conference paper | Author
DOI: 10.1088/1742-6596/2507/1/012001
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Xavier Chesterman; Timothy Verstraeten; Pieter-Jan Daems; Ann Nowe; Jan Helsen
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Vrije Universiteit Brussel

Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms

Wind Energy Science
2023-06-05 | Journal article
DOI: 10.5194/wes-8-893-2023
Contributors: Xavier Chesterman; Timothy Verstraeten; Pieter-Jan Daems; Ann Nowé; Jan Helsen
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Effect of curtailment scenarios on the loads and lifetime of offshore wind turbine generator support structures

Journal of Physics: Conference Series
2023-05 | Journal article | Author
DOI: 10.1088/1742-6596/2507/1/012013
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Robbelein Robbelein; Pieter-Jan Daems; Timothy Verstraeten; Nymfa Noppe; Wout Weijtjens; Jan Helsen; Christof Devriendt
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Vrije Universiteit Brussel

Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated ondata from operational wind farms

2023-02-21 | Preprint
DOI: 10.5194/wes-2022-120
Contributors: Xavier Chesterman; Timothy Verstraeten; Pieter-Jan Daems; Ann Nowé; Jan Helsen
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Crossref

The detection of generator bearing failures on wind turbines using machine learning based anomaly detection

Journal of Physics Conference Series
2022-06-02 | Conference paper | Author
DOI: 10.1088/1742-6596/2265/3/032066
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Xavier Chesterman; Timothy Verstraeten; Pieter-Jan Daems; Fabian Perez-Sanjines; Ann Nowe; Jan Helsen
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Vrije Universiteit Brussel

Removal of non-stationary harmonics for operational modal analysis in time and frequency domain

Mechanical Systems and Signal Processing
2022-02 | Journal article
DOI: 10.1016/j.ymssp.2021.108329
Contributors: Pieter-Jan Daems; Cédric Peeters; Patrick Guillaume; Jan Helsen
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Crossref

Wind turbine drivetrains: state-of-the-art technologies and future development trends

Wind Energy Science
2022-02-21 | Journal article | Author
SOURCE-WORK-ID:

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EID:

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Contributors: Amir Nejad; Jonathan Keller; Yi Guo; shawn sheng; Henk Polinder; Simon Watson; Jianning Dong; Zian Qin; Amir Ebrahimi; Ralf Schelenz et al.
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Vrije Universiteit Brussel

An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxes

Forschung im Ingenieurwesen
2021 | Journal article | Author
DOI: 10.1007/s10010-021-00463-0
SOURCE-WORK-ID:

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EID:

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Contributors: Gopalakrishnan Ravi; Pieter-Jan Daems; Ksenija Nikolic; Wim De Waele; Jan Helsen; Roumen Petrov; Kim Verbeken; Bart Teerlinck; Stijn Hertelé
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Vrije Universiteit Brussel

Condition Monitoring of Wind Turbines and Extraction of Healthy Training Data Using An Ensemble of Advanced Statistical Anomaly Detection Models

Proceedings of the Annual Conference of the PHM Society
2021 | Conference paper | Author
DOI: 10.36001/phmconf.2021.v13i1.2980
SOURCE-WORK-ID:

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Contributors: Xavier Chesterman; Timothy Verstraeten; Pieter-Jan Daems; Ann Nowe; Jan Helsen
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Vrije Universiteit Brussel

Farm-wide dynamic event classification as load input for wind turbine drivetrain lifetime prognosis

ISMA2020 International Conference on Noise and Vibration Engineering
2021 | Conference paper | Author
SOURCE-WORK-ID:

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Contributors: Pieter-Jan Daems; Cédric Peeters; Timothy Verstraeten; Fabian Perez-Sanjines; Jan Helsen
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Vrije Universiteit Brussel

Using a smartphone camera to analyse rotating and vibrating systems: Feedback on the SURVISHNO 2019 contest

Mechanical Systems and Signal Processing
2021-06-01 | Journal article | Author
DOI: 10.1016/j.ymssp.2020.107553
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Hugo André; Quentin Leclère; Dario Anastasio; Youness Benaïcha; Kevin Billon; Merwan Birem; Frédéric Bonnardot; Zhan Chin; Francois Combet; Pieter-Jan Daems et al.
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Vrije Universiteit Brussel

Wind Farm Control Using Factored Bandits: A Hybrid Approach to Active Power Control

2021-05-25 | Conference abstract | Author
SOURCE-WORK-ID:

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Contributors: Timothy Verstraeten; Pieter-Jan Daems; Eugenio Bargiacchi; Diederik M. Roijers; Pieter Libin; Jan Helsen
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Vrije Universiteit Brussel

Scalable Optimization for Wind Farm Control using Coordination Graphs

Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems
2021-05-03 | Conference paper | Author
DOI: 10.5555/3463952.3464109
SOURCE-WORK-ID:

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EID:

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Part of ISBN: 9781450375184
Contributors: Timothy Verstraeten; Pieter-Jan Daems; Eugenio Bargiacchi; Diederik M. Roijers; Pieter Libin; Jan Helsen
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Vrije Universiteit Brussel

Effect of wake on gearbox design load cases identified from fleet-wide operational data

Conference for wind turbine drivetrains 2021
2021-03 | Conference paper | Author
DOI: 10.1007/s10010-021-00444-3
SOURCE-WORK-ID:

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EID:

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Contributors: Pieter-Jan Daems; Timothy Verstraeten; Cédric Peeters; Jan Helsen
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Vrije Universiteit Brussel
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Fleet oriented pattern mining combined with time series signature extraction for understanding of wind farm response to storm conditions

World conference for condition monitoring
2020 | Conference paper | Author
DOI: 10.1007/978-981-15-9199-0_25
SOURCE-WORK-ID:

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EID:

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Part of ISBN: 978-981-15-9199-0
Part of ISBN: 978-981-15-9198-3
Contributors: Pieter-Jan Daems; Len Feremans; Timothy Verstraeten; Boris Cule; Bart Goethals; Jan Helsen
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Vrije Universiteit Brussel

Operational modal analysis of wind turbine drivetrain with focus on damping extraction.

Topics in Modal Analysis & Testing
2020 | Conference paper | Author
SOURCE-WORK-ID:

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Contributors: Pieter-Jan Daems; Cédric Peeters; Patrick Guillaume; Jan Helsen
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Vrije Universiteit Brussel

Separation of vibration signal content using an improved discrete-random separation method

Separation of vibration signal content using an improved discrete-random separation method
2020 | Conference paper | Author
SOURCE-WORK-ID:

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EID:

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Part of ISBN: 9789082893113
Contributors: Cédric Peeters; Jéröme Antoni; Pieter-Jan Daems; Jan Helsen
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Vrije Universiteit Brussel

Automatic detection of events critical for drivetrain health and lifetime from long-term field measurements

Automatic detection of events critical for drivetrain health and lifetime from long-term field measurements
2019 | Conference paper | Author
SOURCE-WORK-ID:

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Contributors: Pieter-Jan Daems; Nicoletta Gioia; Helen Elisabeth Vervaeck; Cédric Peeters; Jonas Verbeke; Yi Guo
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Vrije Universiteit Brussel

Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches

Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine drivetrains Using Combined Machine Learning Signal Processing Approaches
2019 | Conference paper | Author
SOURCE-WORK-ID:

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EID:

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Contributors: Cédric Peeters; Pieter-Jan Daems; Timothy Verstraeten; Ann Nowe; Jan Helsen
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Vrije Universiteit Brussel

Dealing with harmonics in continuous modal analysis

Dealing with harmonics in continuous modal analysis
2019 | Conference paper | Author
SOURCE-WORK-ID:

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Contributors: Nicoletta Gioia; Cédric Peeters; Pieter-Jan Daems; Patrick Guillaume; Jan Helsen
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Vrije Universiteit Brussel

Drivetrain reliability improvements from long-term field data processed in the cloud

Drivetrain reliability improvements from long-term field data processed in the cloud
2019 | Conference paper | Author
SOURCE-WORK-ID:

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EID:

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Contributors: Cédric Peeters; Nicoletta Gioia; Pieter-Jan Daems; Jonas Verbeke; Timothy Verstraeten; Ann Nowe; Jan Helsen
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Vrije Universiteit Brussel

Edge computing for advanced vibration signal processing

Edge computing for advanced vibration signal processing
2019 | Conference paper | Author
SOURCE-WORK-ID:

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Contributors: Timothy Verstraeten; Felipe Gomez Marulanda; Cédric Peeters; Pieter-Jan Daems; Ann Nowe; Jan Helsen
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Vrije Universiteit Brussel

GAINING INSIGHT IN WIND TURBINE DRIVETRAIN DYNAMICS BY MEANS OF AUTOMATIC OPERATIONAL MODAL ANALYSIS COMBINED WITH MACHINE LEARNING ALGORITHMS

Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
2019 | Book | Author
SOURCE-WORK-ID:

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WOSUID:

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EID:

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ISBN: 9780791858899
ISBN: 978-0-7918-5889-9
Contributors: Nicoletta Gioia; Pieter-Jan Daems; C. Peeters; Patrick Guillaume; Jan Helsen; Roberto Medico; Dirk Deschrijver; Tom Dhaene
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Vrije Universiteit Brussel

Long-term modal behaviour assessment of wind turbine drivetrains

7th IOMAC: International operational modal analysis conference
2019 | Conference paper | Author
SOURCE-WORK-ID:

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EID:

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Part of ISBN: 9788409049004
Contributors: Pieter-Jan Daems; Nicoletta Gioia; Cédric Peeters; Jan Helsen
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Vrije Universiteit Brussel

Long term operational modal analysis for rotating machines

The Science of Making Torque from Wind. 3 ed. IOP Publishing
2018 | Conference paper | Author
DOI: 10.1088/1742-6596/1037/5/052035
SOURCE-WORK-ID:

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EID:

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WOSUID:

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Contributors: Nicoletta Gioia; Pieter-Jan Daems; Cédric Peeters; Mahmoud El-kafafy; Patrick Guillaume; Jan Helsen
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Vrije Universiteit Brussel

Rotating machines system identification by means of big data analysis

Rotating machines system identification by means of big data analysis
2018 | Conference paper | Author
SOURCE-WORK-ID:

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EID:

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Contributors: Nicoletta Gioia; Cédric Peeters; Pieter-Jan Daems; Patrick Guillaume; Jan Helsen
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Vrije Universiteit Brussel
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