Preprint
Sep 2026
A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction
A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing RUL prediction and a physics-enhanced dynamic loss function is developed to help the network learn effective and reliable degradation representations.
Haoxuan Zhang, Ding-Hao Yang, Kang-Ning Zhang et al.
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