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Detection of Partial Demagnetization Faults in Five-Phase Permanent Magnet Assisted Synchronous Reluctance Machines

Author

Listed:
  • Carlos Candelo-Zuluaga

    (Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain)

  • Jordi-Roger Riba

    (Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain)

  • Dinesh V. Thangamuthu

    (Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain)

  • Antoni Garcia

    (Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain)

Abstract

This paper analyzes partial demagnetization faults in a five-phase permanent magnet assisted synchronous reluctance motor (fPMa-SynRM) incorporating ferrite permanent magnets (PMs). These faults are relevant because of the application of field weakening, or due to high operating temperatures or short circuit currents, the PMs can become irreversibly demagnetized, thus affecting the performance and safe operation of the machine. This paper proposes fault indicators to detect such fault modes with low demagnetization levels between 5.0% to 16.7% relative demagnetization. Four partial demagnetization fault detection methods are tested, which are based on the analysis of the harmonic content of the electromotive force (EMF) under no load conditions, the harmonic content of the line currents, the harmonic content of the zero-sequence voltage component (ZSVC) and the analysis of the power factor (PF). This work also compares the sensitivity and performance of the proposed detection methods. According to the fault indicators proposed in this paper, the results show that the analysis of the EMF, ZSVC and PF are the most sensitive detection methods. Experimental results are presented to validate finite element analysis (FEA) simulations.

Suggested Citation

  • Carlos Candelo-Zuluaga & Jordi-Roger Riba & Dinesh V. Thangamuthu & Antoni Garcia, 2020. "Detection of Partial Demagnetization Faults in Five-Phase Permanent Magnet Assisted Synchronous Reluctance Machines," Energies, MDPI, vol. 13(13), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3496-:d:380991
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    References listed on IDEAS

    as
    1. Riba, Jordi-Roger & López-Torres, Carlos & Romeral, Luís & Garcia, Antoni, 2016. "Rare-earth-free propulsion motors for electric vehicles: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 367-379.
    2. Caixia Gao & Yanjie Nie & Jikai Si & Ziyi Fu & Haichao Feng, 2019. "Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM," Energies, MDPI, vol. 12(9), pages 1-14, April.
    3. Duc-Kien Ngo & Min-Fu Hsieh, 2019. "Performance Analysis of Synchronous Reluctance Motor with Limited Amount of Permanent Magnet," Energies, MDPI, vol. 12(18), pages 1-20, September.
    4. Carlos Candelo-Zuluaga & Jordi-Roger Riba & Carlos López-Torres & Antoni Garcia, 2019. "Detection of Inter-Turn Faults in Multi-Phase Ferrite-PM Assisted Synchronous Reluctance Machines," Energies, MDPI, vol. 12(14), pages 1-15, July.
    5. Zia Ullah & Jin Hur, 2018. "A Comprehensive Review of Winding Short Circuit Fault and Irreversible Demagnetization Fault Detection in PM Type Machines," Energies, MDPI, vol. 11(12), pages 1-27, November.
    6. Baoshan Huang & Guojin Feng & Xiaoli Tang & James Xi Gu & Guanghua Xu & Robert Cattley & Fengshou Gu & Andrew D. Ball, 2019. "A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems," Energies, MDPI, vol. 12(8), pages 1-23, April.
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    Cited by:

    1. Jin Wang & Yan Li & Shengnan Wu & Zhanyang Yu & Lihui Chen, 2022. "Analysis of the Influence of Parameter Condition on Whole Load Power Factor and Efficiency of Line Start Permanent Magnet Assisted Synchronous Reluctance Motor," Energies, MDPI, vol. 15(11), pages 1-16, May.
    2. João F. P. Fernandes & Pedro P. C. Bhagubai & Paulo J. C. Branco, 2022. "Recent Developments in Electrical Machine Design for the Electrification of Industrial and Transportation Systems," Energies, MDPI, vol. 15(17), pages 1-13, September.

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