Degradation-aware RUL prediction for rolling bearings via multiresolution variable-length patches and hierarchical KAN
A degradation-aware multiresolution hierarchical learning framework for rolling bearing RUL prediction and a hierarchical temporal dependency management module based on Kolmogorov-Arnold Networks is constructed to model intra-patch short-term fluctuations, inter-patch long-term degradation evolution, and cross-resoluti...