Internship : Physics enhanced machine learning for vibration prediction of wind turbine gearboxes.

Your tasks

as an intern or thesis student in the noise and vibration research and development team

• Simulation of the dynamic behavior of gearboxes using data driven (machine learning) and physics based (multi-body) models.
• Research on new techniques to enhance data driven models with physical knowledge or vice versa.
• Evaluation of developed approaches with respect to their robustness and potential for generalization.
• Implementation of Gearbox Digital Twin functionality and automated calculation tools for gearboxes

Your profile as an intern or thesis student in the noise and vibration research and development team