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induction-motor

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This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

  • Updated May 8, 2022
  • Jupyter Notebook

The aim of this module is to understand the operation and behaviour of AC machines and power electronic semiconductor devices, and explain and describe the use of power electronic machine drives.

  • Updated Feb 6, 2022
  • AGS Script

An integrated MATLAB–ML system for early fault detection in induction motors. Detects six faults broken rotor bars, stator short, ground fault, overloading, eccentricity, and voltage imbalance using KNN and Decision Tree models for accurate, unified, and reliable predictive maintenance.

  • Updated Oct 27, 2025
  • MATLAB

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