Fault Detection and Prediction in Induction Motors
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Induction motors are expensive and the backbone of every industry. There would be no production when induction motors break down. It is also costly to repair them after a sudden shutdown. Industries are gradually adapting to predictive maintenance to prevent unnecessary shutdowns and reduce the cost of maintenance. The objective of this paper is to even make the predictive maintenance of inter-turn short circuit fault in induction motors more reliable by adding fault detection and deploying the entire system in an alarm and display system. In this project, secondary current data from a three-phase induction motor has been used because of the current's capabilities of detecting a higher percentage of electrical faults. This is achieved using predictive maintenance toolbox in MATLAB.