Fault Diagnostic And Monitoring Methods of Induction Motor: A Review
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Keywords

Fast Fourier Transforms
Artificial Neural Networks
Computer Simulation
Parameter Estimation

Abstract

Transportation, mining, petrochemical, manufacturing, and almost every other industry using 
electricity utilize induction motors extensively. These motors provide a very high level of 
dependability since they are straightforward, effective, strong, and durable. However, just 
like any other machine, they are susceptible to malfunctions that, if ignored, might 
eventually cause the system to collapse catastrophically. Fault detection has made extensive 
use of online condition monitoring of induction motors. In order to identify future research 
opportunities, this article explores the many types of faults and studies both traditional and 
novel methods for induction motor problems. 

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