High speed trains
Multi-Sensor Fusion Framework for Bearing Temperature Prediction in High-Speed Trains
A new study from the School of Control Science and Engineering proposes a novel framework for predicting bearing temperatures in high-speed trains under variable operating conditions. The framework, called MSC-Ada-MTL, utilizes multi-scale feature extraction and operating condition recognition through adaptive multi-task learning to improve prediction accuracy and robustness. The approach