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Procedure for Detection of Stator Inter-Turn Short Circuit in AC Machines Measuring the External Magnetic Field

Author

Listed:
  • Remus Pusca

    (Laboratory of Electrotechnical and Environmental Systems, University of Artois, EA 4025 LSEE, F-62400 Béthune, France)

  • Raphael Romary

    (Laboratory of Electrotechnical and Environmental Systems, University of Artois, EA 4025 LSEE, F-62400 Béthune, France)

  • Ezzeddine Touti

    (Department of Electrical Engineering, College of Engineering, University of Northern Border, Arar 1321, Saudi Arabia
    Department of Electrical Engineering, University of Tunis, Tunis 1008, Tunisia)

  • Petru Livinti

    (Department of Electrical Engineering, Faculty of Engineering, University Vasile Alecsandri of Bacau, 600115 Bacau, Romania)

  • Ilie Nuca

    (Department of Electrical Engineering, Technical University of Moldova, MD-2004 Chisinau, Moldova)

  • Adrian Ceban

    (Laboratory of Electrotechnical and Environmental Systems, University of Artois, EA 4025 LSEE, F-62400 Béthune, France)

Abstract

This paper presents a non-invasive procedure to detect inter-turn short circuit faults in the stator windings of AC electrical machines. It proposes the use of the stray external magnetic field measured in the vicinity of the machine to determine stator faults. The originality introduced by this procedure is the analysis method presented in the paper, which when compared to usual diagnosis methods, does not require any data on the healthy state of the machine. The procedure uses the magnetic unbalance created by the rotor poles and the load variation in faulty cases. The presented method can be applied to induction and synchronous machines used as a motor or generator. It is based on the variation of sensitive spectral lines obtained from the external magnetic field when the load changes. Analytical relationships are developed in the paper to justify the proposed method and to explain the physical phenomenon. To illustrate these theoretical considerations, practical experiments are also presented.

Suggested Citation

  • Remus Pusca & Raphael Romary & Ezzeddine Touti & Petru Livinti & Ilie Nuca & Adrian Ceban, 2021. "Procedure for Detection of Stator Inter-Turn Short Circuit in AC Machines Measuring the External Magnetic Field," Energies, MDPI, vol. 14(4), pages 1-22, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1132-:d:502961
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    References listed on IDEAS

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    1. Maciej Skowron & Marcin Wolkiewicz & Teresa Orlowska-Kowalska & Czeslaw T. Kowalski, 2019. "Effectiveness of Selected Neural Network Structures Based on Axial Flux Analysis in Stator and Rotor Winding Incipient Fault Detection of Inverter-fed Induction Motors," Energies, MDPI, vol. 12(12), pages 1-20, June.
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    Cited by:

    1. Ahmed Belkhadir & Remus Pusca & Driss Belkhayat & Raphaël Romary & Youssef Zidani, 2023. "Analytical Modeling, Analysis and Diagnosis of External Rotor PMSM with Stator Winding Unbalance Fault," Energies, MDPI, vol. 16(7), pages 1-23, April.

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