Pieter-Jan Daems

Vrije Universiteit Brussel

Belgium

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Articles (13)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

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2023

Year:

2023

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2022

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2021

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2021

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2021

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2021

Year:

2021

Collaborators (11)

Wout Weijtjens

Vrije Universiteit Brussel

BELGIUM

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Dirk Willem van Binsbergen

Vrije Universiteit Brussel

BELGIUM

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Jan Helsen

Vrije Universiteit Brussel

BELGIUM

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Patrick Guillaume

Full Professor

Vrije Universiteit Brussel

BELGIUM

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Cédric Peeters

Vrije Universiteit Brussel

BELGIUM

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Stijn Ally

Vrije Universiteit Brussel

BELGIUM

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Robbelein Robbelein

Vrije Universiteit Brussel

BELGIUM

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Amir R. Nejad

Professor

Norwegian University of Science and Technology

NORWAY

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Christof Devriendt

Vrije Universiteit Brussel

BELGIUM

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Xavier Chesterman

Vrije Universiteit Brussel

BELGIUM

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Konstantinos Gryllias

Associate Professor

KU Leuven

BELGIUM

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Pieter-Jan Daems

Research Interests

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Articles (13)

Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data

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

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

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

Performance comparison of analytical wake models calibrated on a large offshore wind cluster

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

Effect of curtailment scenarios on the loads and lifetime of offshore wind turbine generator support structures

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

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

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

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

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

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

Collaborators (11)

Wout Weijtjens

Dirk Willem van Binsbergen

Jan Helsen

Patrick Guillaume

Cédric Peeters

Stijn Ally

Robbelein Robbelein

Amir R. Nejad

Christof Devriendt

Xavier Chesterman

Konstantinos Gryllias

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