This internship takes place in the general context of the wind energy development. The development of diagnostic tools and models are some of the cost reduction drivers of the wind applications. The internship aims at applying machine learning algorithms for failure detection and prediction on wind turbine. Intern will be hosted and will be supervised by LITIS, a computer science and information technology laboratory in Rouen. The subject was proposed by a major wind turbine actor through a subcontracting agreement with LITIS.
Goals of the internship
1) Apply various machine learning algorithms and methodologies on the provided wind turbine data,
2) Drive conclusions and directions for the development of diagnostic models,
3) Develop diagnostic models when possible.
How to apply
Gilles Gasso: email@example.com, tél : 02 32 95 98 96