Decision-Level Fusion of DNN and SVM for Transmission Line Fault Diagnosis
Accurate fault diagnosis is important for transmission-line operation. This paper proposes a hybrid framework in which a deep neural network learns nonlinear feature representations and a support vector machine performs final classification. Wavelet transform, Z-score normalization, and sample augmentation are applied...