| --- |
| title: Fault Classification PMU |
| emoji: ⚡️ |
| colorFrom: blue |
| colorTo: purple |
| sdk: gradio |
| sdk_version: "4.44.1" |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # Fault Classification for PMU and PV Systems |
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| 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. |
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| 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. |
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