Self-powered IoT Based Vibration Monitoring of Induction Motor for Diagnostic and Prediction Failure

Abstract The vibration of the motor provides information for failure diagnostic and prediction through signal processing. In this paper, we present an IoT-based monitoring system for recording the vibration of the induction motor. A 27mm piezoelectric is used to collect the vibration data from the motor. Each self-powered IoT node is supplied by the motor vibration its self by utilizing two 27mm piezoelectrics in series. We conducted an experiment with 3 scenarios, which aims to collect the vibration data from different positions, they are bottom, top and at the coupling. For each scenario, the speed of the induction motor is changed from low, middle to high speed. Based on our results, the proposed system is a success to monitor the motor vibration clearly. The results can display on the smartphone. Each node can send the recorded vibration to the cloud with an average delay of about 1 s.