Conference programme

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Thursday, 19 November 2015
17:00 - 18:30 Condition-based decision support

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Room: Montparnasse

This session will describe current and explore application of new methods and sensors for the condition monitoring of wind turbines. Laboratory and field-based technologies will be explored and their operational effectiveness and expected added value quantified.

Learning objectives

  • Analyse new methods for monitoring turbine health and performance
  • Quantify the operational effectiveness of condition-based monitoring
  • Explore new sensors for turbine health monitoring
  • Quantify the value of prognostics
This session will be chaired by:
Simon Watson, Professor of Wind Energy, Loughborough University, United Kingdom

Abstract ID: 378 science & research
Donatella Zappalá
Research Associate, Durham University, United Kingdom
Wind Turbine Non-Intrusive Torque Monitoring

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Abstract ID: 513 science & research
Matthias Wächter
Researcher, University of Oldenburg, Germany
Efficient load and power monitoring by stochastic methods

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Abstract ID: 126 science & research
Jannis Weinert
PhD Student, Ramboll / Stuttgart Wind Energy, University of Stuttgart, Germany
Detecting Critical Scour Developments at Monopile Foundations Under Operating Conditions

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Abstract ID: 434
Jan Helsen
Coordinator Drivetrain Monitoring, OWI-lab/VUB, Belgium
SCADA analysis for Condition Monitoring

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Abstract ID: 364
Moritz von Plate
CEO, Cassantec AG, Switzerland
New Prognostic Solutions: Answering the "when" questions

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