Early Detection of Single-Phase Induction Motor Failure through the use of Accelerometer and Temperature Sensor via Arduino

Abstract

Detection of single-phase induction motor failure through the use of accelerometer and temperature sensor via Arduino is accomplished in this paper. A prototype was developed to measure the vibration velocity and temperature of a single-phase motor with a nominal power of 60 W and a rated voltage of 230 VAC. Simulation via LabVIEW was also developed to characterize the motor whether it is in good, bad, or in critical condition. The system made use of Fast Fourier Transform (FFT) Analysis to convert distorted waveforms into a simpler graph, which makes it possible to determine the amplitude of the data to be able to identify the condition of the motor. The motor conditions were characterized using the ISO 10816-1 Std. and IEC 85 Std. for the vibration and temperature, respectively. The gathered data is processed through training and validation which obtained a total of 648 data sets.