A high-speed train gearbox imbalance fault diagnosis method based on virtual reality data generation fusion with enhanced randomness
Structural Health Monitoring: An International Journal
Published online on May 30, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
The collection of historical fault data for high-speed train gearbox gears requires long observation periods, and the occurrence probability of each fault type varies significantly, leading to severely class-imbalanced datasets that greatly limit the ...
The collection of historical fault data for high-speed train gearbox gears requires long observation periods, and the occurrence probability of each fault type varies significantly, leading to severely class-imbalanced datasets that greatly limit the ...