Yong-Hao Zhang

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

Existing deep-learning models for transformer fault diagnosis often struggle with feature decoupling, limiting their accuracy under multidimensional, nonlinear, and strongly coupled operating conditions. To address this, we propose an optimized Deep Belief Network (DBN) architecture. Unlike conventional DBNs, our model...