Application of Some Artificial Intelligence Techniques in Induction Motor Fault Diagnosis

Authors

  • Edison R. C. da Silva Laboratório de Eletrônica Industrial e Acionamento de Máquinas LEIAM/DEE/UFCG
  • Hubert Razik Université Lyon 1 Bât. OMEGA
  • Lane M. R. Baccarini Departamento de Engenharia Elétrica, Universidade Federal de São João Del Rei – UFSJ, Brasil
  • Maurício B. de R. Corrêa Laboratório de Eletrônica Industrial e Acionamento de Máquinas LEIAM/DEE/UFCG
  • Cursino B. Jacobina Laboratório de Eletrônica Industrial e Acionamento de Máquinas LEIAM/DEE/UFCG

DOI:

https://doi.org/10.18618/REP.20113.241248

Keywords:

Artificial Intelligence Methods, Diagnosis Technique, Induction Motor Fault Diagnosis

Abstract

In spite of the advantages of the use of the induction motor in a large number industrial applications, various stresses natures like thermal, electrical, mechanical or environmental could affect the life span of this induction motor drive. In recent years, monitoring and fault detection of electrical machines have moved from traditional techniques to artificial intelligence techniques. This paper gives examples of application of nine AI techniques already applied to induction motor fault diagnosis: neural networks, fuzzy logic, neural-fuzzy, genetic algorithms, vector support machine, particle swarm optimization, artificial immune system and gaussian bootstrap process. Functions that can be accomplished by them are highlighted.

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Author Biographies

Edison R. C. da Silva, Laboratório de Eletrônica Industrial e Acionamento de Máquinas LEIAM/DEE/UFCG

received the B.S.E.E. degree from the Polytechnic School of Pernambuco, Recife, Brazil, in 1965, the M.S.E.E. degree from the University of Rio de Janeiro, Brazil, in 1968, and the Dr.Eng. Degree from the University Paul Sabatier, Toulouse, France, in 1972. After being Professo, from 1967 to 2002, at the Federal University of Paraíba, he joined the Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, where he is currently a Professor of electrical engineering and the Director of the Research Laboratory on Industrial Electronics and Machine Drives. From 1990 to 1991, he was with the University of Wisconsin-Madison, as a Visiting Professor. Dr. da Silva was the General Chairman of both the 1984 Joint Brazilian and Latin–American Conference on Automatic Control, and the 2005 IEEE Power Electronics Specialists Conference (PESC’05).

Hubert Razik, Université Lyon 1 Bât. OMEGA

Hubert Razik was graduated from the Ecole Normale Supérieure, Cachan, France, in 1987. He received the Ph.D. degree in Electrical Engineering from the Institut Polytechnique de Lorraine, Nancy, France, in 1991, and received the Habilitation to Supervise Researches from the Université Henri Poincaré, France, in 2000. In 1993, he joined the laboratory ``Groupe de Recherche en Electrotechnique et Electronique de Nancy", Nancy, France. Since 2009, he has been a Full University Professor with the ``Université Claude Bernard Lyon I", teaching in electrical engineering. He is a researcher with the laboratory Ampère - UMR 5005, Villeurbanne, France.

Lane M. R. Baccarini, Departamento de Engenharia Elétrica, Universidade Federal de São João Del Rei – UFSJ, Brasil

received the BSc. degree in Electrical Engineering with class honorus from Faculdade de Engenharia Elétrica de São João del Rei, nowadays recognized as Federal University of São João del Rei. She received the MSc degree in Electrical Engineering from Federal University of Itajubá. She is currently a Professor of Electrical Engineering at Federal University of São João del Rei. She received the Ph.D degree from the Electrical Engineering at Federal University of Minas Gerais (UFMG).

Maurício B. de R. Corrêa, Laboratório de Eletrônica Industrial e Acionamento de Máquinas LEIAM/DEE/UFCG

received the B.S., M.S., and Ph.D. degrees in electrical engineering from the Federal University of Paraíba, in 1996, 1997, and 2002, respectively. From 1997 to June 2004, he was with the Centro Federal de Educação Tecnológica de Alagoas, Palmeira dos Indios, Brazil. From 2001 to 2002, he was with the Winsconsin Electric Machines and Power Electronics Consortium, University of Wisconsin, Madison, as a Scholar. Since July 2004, he has been with the Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, where he is currently an Associate Professor of electrical engineering.

Cursino B. Jacobina, Laboratório de Eletrônica Industrial e Acionamento de Máquinas LEIAM/DEE/UFCG

received the B.S. degree in electrical engineering from the Federal University of Paraíba, Campina Grande in 1978, and the Diplôme d’Etudes Approfondies and Ph.D. degrees from the Institut National Polytechnique de Toulouse, Toulouse, France, in 1980 and 1983, respectively. From 1978 to March 2002, he was with the Department of Electrical Engineering, Federal University of Paraíba. Since April 2002, he has been with the Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande where he is currently a Professor of electrical engineering.

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Published

2011-08-31

How to Cite

[1]
E. R. C. da Silva, H. Razik, L. M. R. Baccarini, M. B. de R. Corrêa, and C. B. Jacobina, “Application of Some Artificial Intelligence Techniques in Induction Motor Fault Diagnosis”, Eletrônica de Potência, vol. 16, no. 3, pp. 241–248, Aug. 2011.

Issue

Vol. 16 No. 3 (2011)

Section

Original Papers
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