| | --- |
| | 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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