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.
Yu Sha, Jun-Qi Tao, Di-Xin Zhou et al.
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