Xingen Gao

Dirichlet-weighted composite data synthesis for robust transfer learning in high-speed railway bearing fault diagnosis

Results indicate that the proposed framework can identify bearing fault components under real compound machine fault interference and provide a practical solution for HSR bearing health monitoring, early fault warning, and maintenance decision support when labeled field data are limited.