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Preprint Aug 2026

Physics-Informed Learning of Probabilistic Gegenbauer Reconstruction for Transport-Dominated Problems

Transport-dominated problems remain challenging for data-driven methods, which often exhibit severe numerical oscillations near shocks or steep gradients due to globally supported basis functions or overly smooth hypothesis spaces. Gegenbauer reconstruction has shown promise in mitigating such oscillations, but its eff...

Lei Yan, Yan Jiang · 0 citations
Open access Aug 2026

A bearing fault diagnosis method based on MCDCGAN and DPTAN under data imbalance

Bearings are critical components of rotating machinery, yet reliable fault diagnosis remains challenging under complex conditions due to signal non-stationarity and data scarcity. To address these issues, this paper proposes a diagnostic framework that combines generative-adversarial data augmentation with dual-branch...

Sen Zhang, Lei Yan, Zhao-Dong Liu et al. · 0 citations

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