Classification of Levels of Induction Motor Overload using Sound Analysis

Abstract

Induction motors are widely used not only in home appliances but also in industries because of their important role in electromechanical energy conversion. Overloading is among those which can shorten the operating life of those electric machines. Our research tries to use a single microphone to distinguish between full load, 10 percent overload, and 100 percent overload operations of induction motors. Three acoustic features and five classification models are evaluated to establish an overload classification system based on sound analysis. Obtained results show that this is a promising way to classify and monitor induction motor overload.