Using Machine Learning (ML) to Predict Potential Failures from Harmonics Historical Data of The Broken Motor
Abstract - A predictive maintenance strategy is proposed for a 0.37 kW, 380 V AC induction motor affected by internal anomalies such as broken rotor bars. The main objective is to identify potential faults using machine learning (ML) algorithms trained on harmonic features derived from stator…