|
|
--- |
|
|
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 |
|
|
|
|
|
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. |
|
|
|
