17:00 - 18:30 Condition-based decision support
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.
- 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
Lead Session Chair:
Simon Watson, Loughborough University, United Kingdom
Matthias Wächter (1) F Pedro Lind (1) Ivan Herraez Hernandez (1) Philip Rinn (1) Bernhard Stoevesandt (2) Patrick Milan (1) Joachim Peinke (1)
(1) University of Oldenburg, Oldenburg, Germany (2) Fraunhofer IWES, Oldenburg, Germany
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Presenter's biographyBiographies are supplied directly by presenters at EWEA 2015 and are published here unedited
Matthias Wächter studied physics in Kiel and Oldenburg, Germany, where he also received his PhD. He is heading the section of stochastic methods in the Turbulence, Wind Energy and Stochastics research group (TWiSt) at the ForWind Center for Wind Energy Research in Oldenburg. His main research fields are wind energy and stochastic data analysis and modeling.