Author

Y.-G. Li

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Open access Aug 2026

Combining Small Sample Parameters and GRU to Perceive and Locate Latent Faults in Power Transformers

To address the insufficient temporal modeling capability in latent fault diagnosis of power transformers under small-sample conditions, this paper proposes an intelligent diagnosis framework integrating Few-Shot Learning (FSL) and a Gated Recurrent Unit (GRU) network for electromagnetic field perception and fault local...

L.-J. Feng, Y.-G. Li, R.-R. Li et al. · Advanced Electromagnetics · 0 citations

Open access Aug 2026

Research on Fault Location Technology of Transformer Acoustic Feature Recognition and Field Perception Data Fusion under Small Sample Parameters

Reliable transformer fault diagnosis under limited fault samples remains a significant challenge in intelligent power systems. To address the difficulties associated with weak fault signatures, severe environmental interference, and insufficient training samples, this study investigates transformer fault location techn...

Y.-G. Li, L.-J. Feng, R.-R. Li et al. · Advanced Electromagnetics · 0 citations