Application of Wavelet Analysis in Condition Monitoring of Induction Motors

Abstract

In the era of globalization, manufacturing industries are facing intense pressure to prevent unexpected breakdowns, lower maintenance costs and improve machine availability. Due to the increasing trend of Condition Monitoring (CM), numerous sensors deployed on industrial apparatus around the world and several monitoring techniques available for fault diagnosis of induction motors are growing at a rapid pace. This article provides a state-of-art review of past and recent developments taking place in wavelet analysis-based CM and failure diagnosis in three-phase induction motors. The utilization of different CM techniques in data processing and application of wavelet-based automatic failure prediction in induction motors for timely scheduling of the maintenance holds great research potential in the future.