Spatio-temporal physics-informed digital twins for early fault prognostics of wind turbine generators and gearboxes
Utility-scale wind energy conversion systems are subjected to highly stochastic aerodynamic loading profiles, making drivetrain components—particularly high-speed gearbox shaft bearings and generator stator windings—susceptible to premature failure. Traditional predictive maintenance frameworks rely either on pure data...