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Wind Turbine Failure Detection
Reference persons BARTOLOMEO MONTRUCCHIO
Description Wind turbines are complex objects. Inside them are SCADA systems used to monitor the operating status of each component and environmental data. Therefore, the thesis aims to use such data and machine learning techniques to detect faults that can occur in different parts of wind turbines, such as the generator and the gearbox. It is also of particular interest to evaluate how the vibrations induced by the rotation of the blades can possibly be used as an input variable of the system to be created.
The thesis will take place at the Sirius s.r.l. company, located in via Frejus 106, Turin (https://www.sirius.to.it/). Basic knowledge of Python and machine learning is required.
For more information, don't hesitate to get in touch with Bartolomeo Montrucchio, Antonio Marceddu, Matteo Di Salvo, and Fabio Bima at the following emails:
bartolomeo.montrucchio@polito.it
antonio.marceddu@polito.it
disalvo@sirius-ea.com
bima@sirius-ea.com
Deadline 18/07/2025
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