11:30 - 13:00 Component reliability and diagnostics: early detection and intervention is key!
O&M & logistics
Room: Hall G1
This session will give an insight into wind turbine reliability and the state of the art in wind turbine diagnostics. It will look at how to collect and analyse reliability data in order to improve design as well as O&M strategies. This session will also look at the use of supervisory control and data acquisition (SCADA) data for condition monitoring: both 'conventional' ten minute data and higher frequency 1Hz data. Finally, there will be a case study of how power data from the converter can be used to infer wind turbine loading.
You attended this session?
Postgraduate Researcher, Durham University, United Kingdom
Monitoring wind turbine loading using power converter signals
Head of Department, Fraunhofer IWES, Germany
Recommended practices for data collection, reliability assessment and O&M optimisation
Group Manager, Fraunhofer IWES, Germany
Modelling the failure behaviour of wind turbines
Senior Researcher, DNV GL, United Kingdom
Give it all you got: using big data machine learning ensembles for condition monitoring
Manager, Siemens Wind Power A/S, Denmark
Reduce production loss through early-stage detection of abnormal behaviour