renanmassena / Electrical-Fault

Final Project - Detecting Electrical Faults

In this repository we present the final project of the Bootcamp of Data Science, Data Analytics & Machine Learning from Infnet Institute.

This is a binary classification study using a dataset from Kaggle [1] that shows the time evolution of currents and voltages of a simulated three-phase electrical system in normal and faulty state.

code

• analysis
  • data understanding.
  • data clustering.
• models
  • artificial neural networks implemented in notebooks.
  • model file (.h5) of trained model ready for deploy.
• preprocessing
  • data preparation (splitting and scaling).

data

• processed
  • splitted and scaled data.
• raw
  • raw data generated by matlab simulation

docs

• root:
  • presentation
• images
  • results

Group

https://github.com/renanmassena

https://github.com/ViniciusBrSc

References

[1] https://www.kaggle.com/datasets/esathyaprakash/electrical-fault-detection-and-classification

[2] https://github.com/IronVenom/Fault-Detection-and-Classification