Prototype-Informed Dynamic Adaptive Network for Robust Cross-Operating-Condition Fault Diagnosis of Rolling Bearings
Cross-domain fault diagnosis of rolling bearings remains challenging because of substantial shifts in feature distributions and condition-induced instability in intra-class structures. To address these challenges, a prototype-informed dynamic adaptation network to enhance diagnostic robustness under varying operating c...