Y.-H. Wang

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...