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Article

Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic

by
Josue A. Reyes-Malanche
1,†,
Efrain Ramirez-Velasco
2,*,†,
Francisco J. Villalobos-Pina
2,‡ and
Suresh K. Gadi
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
Facultad de Ingenieria Mecanica y Electrica, Universidad Autonoma de Coahuila, Torreon Campus, Torreon 27276, Mexico
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
These authors also contributed equally to this work.
Energies 2024, 17(16), 4197; https://doi.org/10.3390/en17164197
Submission received: 8 June 2024 / Revised: 12 August 2024 / Accepted: 19 August 2024 / Published: 22 August 2024
(This article belongs to the Special Issue Advanced Technologies in Partial Discharge Detection and Fault Diagnosis)
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Abstract

An induction motor is an electric machine widely used in various industrial and commercial applications due to its efficiency and simple design. In this regard, a methodology based on the electric phasor analysis of line currents and the variations in the phase angles among these line currents is proposed. The values in degrees of the angles between every pair of line currents were introduced to a fuzzy logic algorithm based on the Mamdani model, developed using the Matlab toolbox for detection and isolation of the inter-turn short-circuit faults on the windings of an induction motor. To carry out the analysis, the induction motor was modified in its stator windings to artificially induce short-circuit faults of different magnitudes. The current signals are acquired in real time using a digital platform developed in the Delphi 7 high-level language communicating with a float point unit Digital Signal Processor (DSP) TMS320F28335 by Texas Instruments. The proposed method not only detects the short circuit faults but also isolates the faulty winding.
Keywords: fuzzy logic; induction motor; line currents; phase angles; phasor analysis fuzzy logic; induction motor; line currents; phase angles; phasor analysis

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MDPI and ACS Style

Reyes-Malanche, J.A.; Ramirez-Velasco, E.; Villalobos-Pina, F.J.; Gadi, S.K. Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic. Energies 2024, 17, 4197. https://doi.org/10.3390/en17164197

AMA Style

Reyes-Malanche JA, Ramirez-Velasco E, Villalobos-Pina FJ, Gadi SK. Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic. Energies. 2024; 17(16):4197. https://doi.org/10.3390/en17164197

Chicago/Turabian Style

Reyes-Malanche, Josue A., Efrain Ramirez-Velasco, Francisco J. Villalobos-Pina, and Suresh K. Gadi. 2024. "Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic" Energies 17, no. 16: 4197. https://doi.org/10.3390/en17164197

APA Style

Reyes-Malanche, J. A., Ramirez-Velasco, E., Villalobos-Pina, F. J., & Gadi, S. K. (2024). Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic. Energies, 17(16), 4197. https://doi.org/10.3390/en17164197

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