Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling

In electrical grids, fault diagnosis (fault type and fault location classifications) are critical due to their economic and important implications. Numerous We advocate for a complementary perspective. To represent faulty signals, we propose a where pre-trained models such as and