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Volume 16
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10.3390/en16010516
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Article

Short-Circuit Fault Diagnosis on Induction Motors through Electric Current Phasor Analysis and Fuzzy Logic

by
Josue A. Reyes-Malanche
1,
Francisco J. Villalobos-Pina
2,
Efraın Ramırez-Velasco
2,
Eduardo Cabal-Yepez
3,
Geovanni Hernandez-Gomez
3 and
Misael Lopez-Ramirez
3,*
1
Departamento de Produccion y Seguridad Industrial, Universidad Tecnologica de Aguascalientes, Aguascalientes 20200, Mexico
2
Departamento de Ingeniería Electrica Electronica, TecNm/Instituto Tecnologico de Aguascalientes, Aguascalientes 20256, Mexico
3
Multidisciplinary Studies Department, Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 38944, Mexico
*
Author to whom correspondence should be addressed.
Energies 2023, 16(1), 516; https://doi.org/10.3390/en16010516
Submission received: 12 December 2022 / Revised: 21 December 2022 / Accepted: 23 December 2022 / Published: 3 January 2023
(This article belongs to the Special Issue Research on Diagnosis and Performance of Power Inverter in Power System)
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Abstract

Online monitoring of induction motors has increased significantly in recent years because these devices are essential components of any industrial process. Incipient fault detection in induction motors avoids interruptions in manufacturing processes and facilitates maintenance tasks to reduce induction motor timeout. Therefore, the proposal of novel approaches to assist in the detection and classification of induction motor faults is in order. In this work, a reliable and noninvasive novel technique that does not require computational demanding operations, since it just performs arithmetic calculations, is introduced for detecting and locating short-circuit faults in the stator windings of an induction motor. This method relies on phasor analysis and the RMS values of line currents, followed by a small set of simple if-then rules to perform the diagnosis and identification of stator winding faults. Obtained results from different experimental tests on a rewound induction motor stator to induce short-circuit faults demonstrate that the proposed approach is capable of identifying and locating incipient and advanced deficiencies in the windings’ insulation with high effectiveness.
Keywords: fuzzy logic; induction motor; short-circuit fault; phasor analysis fuzzy logic; induction motor; short-circuit fault; phasor analysis

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MDPI and ACS Style

Reyes-Malanche, J.A.; Villalobos-Pina, F.J.; Ramırez-Velasco, E.; Cabal-Yepez, E.; Hernandez-Gomez, G.; Lopez-Ramirez, M. Short-Circuit Fault Diagnosis on Induction Motors through Electric Current Phasor Analysis and Fuzzy Logic. Energies 2023, 16, 516. https://doi.org/10.3390/en16010516

AMA Style

Reyes-Malanche JA, Villalobos-Pina FJ, Ramırez-Velasco E, Cabal-Yepez E, Hernandez-Gomez G, Lopez-Ramirez M. Short-Circuit Fault Diagnosis on Induction Motors through Electric Current Phasor Analysis and Fuzzy Logic. Energies. 2023; 16(1):516. https://doi.org/10.3390/en16010516

Chicago/Turabian Style

Reyes-Malanche, Josue A., Francisco J. Villalobos-Pina, Efraın Ramırez-Velasco, Eduardo Cabal-Yepez, Geovanni Hernandez-Gomez, and Misael Lopez-Ramirez. 2023. "Short-Circuit Fault Diagnosis on Induction Motors through Electric Current Phasor Analysis and Fuzzy Logic" Energies 16, no. 1: 516. https://doi.org/10.3390/en16010516

APA Style

Reyes-Malanche, J. A., Villalobos-Pina, F. J., Ramırez-Velasco, E., Cabal-Yepez, E., Hernandez-Gomez, G., & Lopez-Ramirez, M. (2023). Short-Circuit Fault Diagnosis on Induction Motors through Electric Current Phasor Analysis and Fuzzy Logic. Energies, 16(1), 516. https://doi.org/10.3390/en16010516

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