Yu-Jiang Liu

Multi-View Temporal Structure-Aware Learning for Remaining Useful Life Prediction

A novel multi-view temporal structure-aware learning framework that generates multiple perspectives of the degradation state, coupled with a Transformer-based backbone to capture long-range dependencies and a temporal ordering constraint learning mechanism to enhance stability and physical rationality.