Xiaohu Zhang

A Condition-Disentangled Representation Optimization Framework for Domain Generalization Under Distribution Shift: Application to Fault Diagnosis

Domain generalization under distribution shift remains a fundamental challenge in representation learning, where predictive models trained on multiple source domains are expected to generalize to previously unseen operating conditions. For rotating machinery fault diagnosis, vari...