Di-Xin Zhou

Physical-Variable-Informed Deep Learning for Robust Diagnosis in Industrial Fluid Transport Systems

Class-wise analyses, together with attention and masking analyses, show improved discrimination of ambiguous states and indicate that physical variables meaningfully constrain local response interpretation, and demonstrate a deployment-oriented approach to robust diagnosis in heterogeneous industrial environments.