Awais-Asghar/Early-Fault-Detection-for-Induction-Motor-Using-ML
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.
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