VincentCroft/FaultDetectionDeepLearning

Fault Classification for PMU and PV Systems

This Space hosts the Gradio front end used to retrain and serve fault classification models for transmission lines and grid-connected photovoltaic systems. It loads pre-trained Keras models and feature scalers, accepts bulk CSV uploads for continued training, and exposes interactive inference utilities for high-frequency PMU measurements.

Refer to app.py for the interface definition and to fault_classification_pmu.py for the training pipeline that supports CNN-LSTM, TCN, and SVM architectures.