Author

D. Vnucec

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#artificial intelligence Preprint Oct 2026

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. · 0 citations

#artificial intelligence Preprint Oct 2026

Physical Operating-Condition-Guided Vision-Language Matching for Cavitation Diagnosis in Industrial Pipeline Systems

Experiments show that POC-VLM consistently outperforms representative data-driven, multimodal and domain-specific diagnostic methods, while demonstrating robust performance under varying sampling rates, noise levels and observation durations.

Yu Sha, Jun-Qi Tao, De-Yu Wang et al. · 0 citations