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

Author

Listed:
  • Josue A. Reyes-Malanche

    (Departamento de Produccion y Seguridad Industrial, Universidad Tecnologica de Aguascalientes, Aguascalientes 20200, Mexico
    These authors contributed equally to this work.)

  • Efrain Ramirez-Velasco

    (Departamento de Ingeniería Electrica Electronica, TecNm/Instituto Tecnologico de Aguascalientes, Aguascalientes 20256, Mexico
    These authors contributed equally to this work.)

  • Francisco J. Villalobos-Pina

    (Departamento de Ingeniería Electrica Electronica, TecNm/Instituto Tecnologico de Aguascalientes, Aguascalientes 20256, Mexico
    These authors also contributed equally to this work.)

  • Suresh K. Gadi

    (Facultad de Ingenieria Mecanica y Electrica, Universidad Autonoma de Coahuila, Torreon Campus, Torreon 27276, Mexico
    These authors also contributed equally to this work.)

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.

Suggested Citation

  • Josue A. Reyes-Malanche & Efrain Ramirez-Velasco & Francisco J. Villalobos-Pina & Suresh K. Gadi, 2024. "Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic," Energies, MDPI, vol. 17(16), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:4197-:d:1461900
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    References listed on IDEAS

    as
    1. Kowalski, Czeslaw T & Orlowska-Kowalska, Teresa, 2003. "Neural networks application for induction motor faults diagnosis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(3), pages 435-448.
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