Zezhong Zheng

Real-Time Magnetic Flux Prediction for Transformer Short-Circuit Fault Diagnostics With Deep Neural Network and Autoencoder

Accurate prediction of magnetic flux distribution in power transformers under winding short-circuit faults is essential for online monitoring and digital-twin-based diagnostics. Existing data-driven surrogate models typically rely on standard deep neural networks (DNNs) and linear dimensionality reduction techniques, w...