Lin-Qi Zhang

Transformer fault diagnosis method integrating long short-term memory network and enzyme action optimization

Dissolved gas analysis-based Transformer fault diagnosis is often affected by class imbalance, limited feature representation, and sensitivity to model hyperparameters. To address these issues, this paper proposes a novel computational method that integrates a long short-term memory (LSTM) network with a bio-inspired n...