EWT wind turbines are stationed from the north pole to the desert, in urban areas and at sea. The difficult accessibility and extreme weather conditions turn maintenance of turbines into a challenging job. Therefore it is of crucial importance to foresee a defect. The growing complexity of the turbines makes it harder for the EWT's engineers to interpret data. Based on this growing need for machine assistance, EWT and Bit joined forces to experiment with Machine Learning as a predictive maintenance tool.