11:30 - 13:00 Component reliability and diagnostics: early detection and intervention is key!
O&M & logistics
![Onshore Onshore](onshore-neg.png)
![Offshore Offshore](offshore-neg.png)
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.
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Co-chair(s):
![](../submit-an-abstract/thumb/ADMIN_212Watson_Simon-Loughborough-University-150x150.jpg)
![](../submit-an-abstract/thumb/ADMIN_133Hostetler_matt_square.jpg)
Presenter
![](../submit-an-abstract/thumb/134_1274242629.jpeg)
Co-authors:
Cassandra Rieg (1) F P Christopher Smith (1) Christopher Crabtree (1)
(1) Durham University, Durham, United Kingdom
Presenter's biography
Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here uneditedChristopher is a postgraduate researcher in the Energy Group at the School of Engineering and Computing Sciences, Durham University. Christopher received his MEng in New and Renewable Energy at Durham University in 2013 and briefly worked as an Energy Strategic Consultant at Parsons Brinkerhoff in 2012. Christopher’s research has focused on a range of wind turbine reliability based problems including developing suitable wind speed models for wind farm reliability simulations and analysis of power electronic devices subjected to extreme operating conditions experienced in the turbine drive train.
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