Data driven failure prediction of wind turbine components
Description preview
The PhD study will investigate how machine learning can be deployed to improve the optimization of offshore wind farm, by to improving the efficiency of data analysis, processing and providing faster response, on top of minimizing high-cost repair operations and wind turbine operational down time. The study will enable effective fault prediction…
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