A Dual-Branch Deep Learning Framework for Macroscopic Area and Microscopic Contour Prediction of EMU Wheelset Wear
This study links macroscopic wear quantification with microscopic morphological reconstruction and provides a data-driven basis for EMU wheelset maintenance decision-making and shows that historical wear-rate features provide important degradation-gradient information that improves prediction stability for the top 15%...