A Physics-Informed Single-Source Domain Generalization Framework for Bearing Fault Diagnosis Under Unseen Operating Conditions
Unexpected breakdowns in rotating machinery can result in substantial economic losses and safety hazards, underscoring the critical need for reliable bearing fault diagnosis under variable operating conditions. Although deep learning has demonstrated a strong diagnostic capability, its practical deployment is often hin...