Fault Diagnosis of Distribution Networks Based on IAHA-Optimized VMD and Two-Dimensional Convolutional Neural Networks
Accurate fault diagnosis in distribution networks is often limited by empirical parameter selection in Variational Mode Decomposition (VMD) and insufficient fault feature representation under complex operating conditions. To overcome these limitations, an Improved Artificial Hummingbird Algorithm-Variational Mode Decom...