Assessment of Engineering Techniques for Failures Simulation in Induction Motors Using Numerical Tool

Gustavo Caiza, Carlos A. Garcia, Jose E. Naranjo, Marcelo V. Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Most industrial processes require reliability, safe and continuous operation of electric motors. However, unexpected failures result in production losses, high emergency maintenance costs, damage to other related machines and prolonged shutdowns. Therefore, the development of failure analysis, detection and prevention systems is of high importance for the industrial sector. The following paper proposes the generation of a model of a squirrel cage induction motor in the software tool Simulink capable of simulating: (i) broken bars and broken rotor rings and (ii) failures in the bearings of the motor, based on the Motor Current Signature Analysis (MCSA) technique which is a non-invasive method, and the fast Fourier transform (FFT) algorithm to perform spectral analysis on the current to detect specific components that characterize faults in these conditions.

Original languageEnglish
Title of host publicationProceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
EditorsYuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Reinaldo Padilha França
PublisherSpringer Science and Business Media Deutschland GmbH
Pages307-319
Number of pages13
ISBN (Print)9783030575472
DOIs
StatePublished - 2021
Event5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil
Duration: 22 Oct 201924 Oct 2019

Publication series

NameSmart Innovation, Systems and Technologies
Volume201
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference5th Brazilian Technology Symposium, BTSym 2019
Country/TerritoryBrazil
CityCampinas
Period22/10/1924/10/19

Bibliographical note

Funding Information:
Acknowledgements This work was financed by Universidad Tecnica de Ambato (UTA) and their Research and Development Department (DIDE) under project CONIN-P-256-2019.

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

  • Broken bars
  • Damaged bearings
  • Induction motor
  • Simulation failures
  • Squirrel cage

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