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Gengxin Ding

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Conference Open access Aug 2026

Optimization of a DBN-based fault diagnosis algorithm for Oil-immersed transformers

This work proposes an optimized Deep Belief Network architecture that outperforms traditional DBNs by approximately 5% and matches the diagnostic precision of state-of-the-art architectures (e.g., Transformers), while offering superior computational efficiency and robustness under limited data conditions.

Yong-Hao Zhang, Gengxin Ding, Fei-Ran Sun et al. · 0 citations

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