A digital twin-based approach for generalized fault diagnosis of high-speed train gearbox gears
Data-driven methods have been widely applied to fault diagnosis of high-speed train gearbox gears; however, their performance heavily depends on high-quality training data. Due to the inevitable degradation of gears during long-term service, significant distribution discrepancies arise between real-time operational dat...