Faults detection and remote monitoring system for induction motors

Abstract

This article describes the design and implementation of a fully automated system for faults detection and remote monitoring of induction motors, developed by CITEM at Montevideo University, for the company ALFEX S.A. The system uses a methodology for faults detection based on MCSA (Motor Current Signature Analysis), which is sensitive to several faults such as: broken rotor bars, bearing damages, rotor eccentricity and shorted turns. Furthermore, the system triggers different kinds of alarms whenever a fault is detected and its website allows users to check the state of each motor.