Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Helsen, Jan

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Vrije Universiteit Brussel

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2023Experimental evaluation of the metal powder particle flow on the melt pool during directed energy deposition3citations
  • 2021Prediction of build geometry for DED using supervised learning methods on simulated process monitoring data8citations
  • 2021An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxes3citations
  • 2021An interdisciplinary framework to predict premature roller element bearing failures in wind turbine gearboxes3citations
  • 2020Spatial distributed spectroscopic monitoring of melt pool and vapor plume during the laser metal deposition process2citations
  • 2020MiCLAD as a platform for real-time monitoring and machine learning in laser metal deposition33citations
  • 2018Robust Power-Electronic-Converter-Fault Detection and Isolation Technique for DFIG Wind Turbinescitations
  • 2016Experimental Investigation of Bearing Slip in a Wind Turbine Gearbox During a Transient Grid Loss Event24citations
  • 2016Experimental dynamic identification of modeshape driving wind turbine grid loss event on nacelle testrig11citations

Places of action

Chart of shared publication
Powell, John
1 / 7 shared
Jardon, Zoé
2 / 12 shared
Sanchez Medina, Jorge
2 / 6 shared
Hinderdael, Michaël
1 / 22 shared
Baere, Dieter De
2 / 26 shared
Ertveldt, Julien
2 / 16 shared
Snyers, Charles
1 / 2 shared
Verbeken, Kim
2 / 154 shared
Ravi, Gopalakrishnan
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Teerlinck, Bart
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Daems, Pieter-Jan
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De Waele, Wim
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Petrov, Roumen
2 / 71 shared
Nikolić, Ksenija
1 / 5 shared
Hertelé, Stijn
2 / 45 shared
Nikolic, Ksenija
1 / 2 shared
Waele, Wim De
1 / 30 shared
Guillaume, Patrick
4 / 40 shared
Devesse, Wim
1 / 14 shared
Mollet, Yves
1 / 1 shared
Kinnaert, Michel
1 / 1 shared
Gyselinck, Johan
1 / 1 shared
Soares, Marcelo Nesci
1 / 1 shared
Guo, Yi
1 / 4 shared
Keller, Jonathan
1 / 2 shared
Weijtjens, Wout
1 / 4 shared
Devriendt, Christof
1 / 5 shared
Chart of publication period
2023
2021
2020
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2016

Co-Authors (by relevance)

  • Powell, John
  • Jardon, Zoé
  • Sanchez Medina, Jorge
  • Hinderdael, Michaël
  • Baere, Dieter De
  • Ertveldt, Julien
  • Snyers, Charles
  • Verbeken, Kim
  • Ravi, Gopalakrishnan
  • Teerlinck, Bart
  • Daems, Pieter-Jan
  • De Waele, Wim
  • Petrov, Roumen
  • Nikolić, Ksenija
  • Hertelé, Stijn
  • Nikolic, Ksenija
  • Waele, Wim De
  • Guillaume, Patrick
  • Devesse, Wim
  • Mollet, Yves
  • Kinnaert, Michel
  • Gyselinck, Johan
  • Soares, Marcelo Nesci
  • Guo, Yi
  • Keller, Jonathan
  • Weijtjens, Wout
  • Devriendt, Christof
OrganizationsLocationPeople

article

Experimental dynamic identification of modeshape driving wind turbine grid loss event on nacelle testrig

  • Helsen, Jan
  • Weijtjens, Wout
  • Guillaume, Patrick
  • Devriendt, Christof
Abstract

This paper experimentally investigates a grid loss event on the Gearbox Reliability Collaborative drivetrain mounted on the NREL nacelle testrig. It is shown that during the grid loss event the system vibration is driven by a counter phase rotation of the rotor and generator rotor about the drivetrain flexibility. This behavior results in significant torque oscillations with significant negative torque periods. This work shows that at each zero-crossing the teeth disengage contact, go through the backlash and re-engage at the other flank by means of strain gauge measurements at the HSS pinion teeth. The driving torsional resonance is identified by means of a pLSCF modal identification estimator. Challenges for accurate modal parameter estimation related to harmonic excitation are elaborated and tackled. Finally the dominating eigenfrequency, corresponding modeshape and damping value are determined.

Topics
  • impedance spectroscopy
  • phase
  • high speed steel