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Tian Fang

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#reinforcement learning Open access Sep 2026

Multi-scale physics-informed reinforcement learning method for bearing fault diagnosis under data scarcity

A novel multi-scale physics-informed neural network with enhanced reinforcement learning (MPINN-ERL) for bearing fault diagnosis under data scarcity and achieves competitive diagnostic accuracy.

Xin Xia, Xi-Hong Fei, Kang Wang et al. · 0 citations
Jul 2026

EFEM-YOLO: an efficient feature extraction network for surface defect detection of photovoltaic cell

Stable operation of photovoltaic (PV) cells is crucial for reliable and efficient electricity generation in power systems. However, their poor defect characterization, large size variation, and high background noise lead to low automatic identification accuracy. In this paper, a YOLO-based network with an efficient fea...

Yuan-Song Xiang, Xi-Hong Fei, Tian Fang et al. · 0 citations

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