Development of Motor Health Examination System Using Arduino Uno

In this research, we developed a motor health examination system using an Arduino and a sensor, and clarified the performance of the developed system. Experiments with five faulty induction motors confirmed that Fourier analysis of the current waveform can detect fault differences (1 ± 2sf) displayed at frequencies. Induction motors using the developed system are smart motors that can monitor rotor fault conditions.