Ying-Tang Zhang

Dual-attention-enhanced Alexnet for fault diagnosis in multi-energy complementary power systems

According to the findings, the dual-attention network together with the hybrid dilation approach improves the performance of multi-energy complementary power system fault diagnosis by increasing the convergence speed, monitoring accuracy, and reducing the number of false alarms.