Sai-Da Du

MAC‐MLSTM: A Dual‐Branch Spatiotemporal Model With Adaptive Fusion and Uncertainty Quantification for RUL Prediction

Remaining useful life (RUL) prediction is a key component in ensuring equipment reliability and optimizing maintenance strategies. To address the limitations of existing models that overlook the dynamic correlations and heterogeneous contributions of spatiotemporal features in multi‐sensor data, as well as the lack o...