Development and experimental test of data-driven approaches for physics-informed wind-turbine digital twins
In a context of energy crisis, health monitoring of wind turbines is a major economic issue. This monitoring allows costs to be reduced by anticipating maintenance operations and optimising operating time. Classical approaches propose to exploit the measurements of a few sensors placed on the wind turbine.