Volume 7 Number 6 (Dec. 2015)
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IJCEE 2015 Vol.7(6): 417-423 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.7.6.417-423

Computational Modeling of Common Failures in Electrical Induction Machines

Adrian Gonzalez-Parada, Rafael Guzmán-Cabrera, Miguel Torres-Cisneros, Ricard Bosch-Tous, Hector J. Estrada-García
Abstract—One of the most common types of failures in induction motors with squirrel cage rotor is examined in this paper. Generally, such failure is characterized by: broken rotor bars and short circuit in the inter-turn winding. The broken rotor bars failure was simulated with two consecutive broken bars in order to see how the magnetic flux density within be affected. The inter-turn short circuit was simulated with 40% reduction of winding coil in an inter-turn short circuit for one of the phases. In both cases the simulation was performed with the finite element software FEMM©, which helped in obtaining the waveform of the flux density in the motor airgap and the magnetic core. The result obtained allows clear identification of the type of failures that occurs depending of type that will present in the simulation.

Index Terms—Computation modeling, emerging faults, electrical machines, failure detection.

Adrian Gonzalez-Parada, Rafael Guzmán-Cabrera, Miguel Torres-Cisneros, and Hector J. Estrada-García are with the Engineering Division, University of Guanajuato, México. Ricard Bosch-Tous is with the School of Industrial Engineering of Barcelona (ETSEIB), Polytechnic University of Catalonia, Barcelona, Spain.

Cite:Adrian Gonzalez-Parada, Rafael Guzmán-Cabrera, Miguel Torres-Cisneros, Ricard Bosch-Tous, Hector J. Estrada-García, "Computational Modeling of Common Failures in Electrical Induction Machines," International Journal of Computer and Electrical Engineering vol. 7, no. 6, pp. 417-423, 2015.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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