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Chao-Ge Wang

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Conference Aug 2026

Application of Feature Fusion-Driven Physics-Informed Neural Network in Remaining Useful Life Prediction

Addressing the issues of traditional data-driven methods lacking interpretability and physics-informed neural network (PINN) being susceptible to noise due to statistical feature inputs, this paper proposes a feature fusion-based physics-informed neural network method for predicting the remaining useful life (RUL) of b...

Chao-Ge Wang, Xiang-Yin Meng, Zi-Yi Jia · 0 citations
Open access Sep 2026

DDGF-Net: A Novel Dual-Domain Generative-Discriminative Fusion Network for Gearbox Fault Diagnosis Under Strong Noise Conditions

Dual-domain generative–discriminative fusion network (DDGF-Net) achieves superior diagnostic performance and noise robustness over eight representative methods, particularly under strong noise interference, thereby validating its effectiveness and superiority in harsh diagnostic scenarios.

Rui-Han Ma, Xuan-Yue Wang, Jia-Jun Cheng et al. · 0 citations

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