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.
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).
processed
- splitted and scaled data.
raw
- raw data generated by matlab simulation
root
:- presentation
images
- results
https://github.com/renanmassena
https://github.com/ViniciusBrSc
[1] https://www.kaggle.com/datasets/esathyaprakash/electrical-fault-detection-and-classification
[2] https://github.com/IronVenom/Fault-Detection-and-Classification