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Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine

Author

Listed:
  • Anmol Aggarwal

    (Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA)

  • Elias G. Strangas

    (Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA)

Abstract

This paper compares the detection methods of static eccentricity in Interior Permanent Magnet Synchronous Machines (IPMSM). Four methods are discussed: The first method uses shift in the voltages in d–q plane to detect fault. The second method uses shift in peak of the incremental inductance curve for fault detection. The third method uses the combined information of harmonics present both in current and voltage to detect the fault. This makes the detection robust with respect to current controller bandwidth. Finally, the fourth method used for detection includes measuring vibrations using accelerometers. It is shown that all four methods detected static eccentricity. These methods are compared on the basis of utility of fault detection under online or offline conditions and under saturated conditions. For all four methods the machine was tested at healthy, 25% and 50% static eccentricity levels. Two-dimensional (2-D) Finite element analysis was used for simulating machine under healthy and faulty cases. The experiments were performed by controlling the machine using Labview Real-time.

Suggested Citation

  • Anmol Aggarwal & Elias G. Strangas, 2019. "Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine," Energies, MDPI, vol. 12(21), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4105-:d:280897
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    Citations

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    Cited by:

    1. Jin-Cheol Park & Soo-Hwan Park & Jae-Hyun Kim & Soo-Gyung Lee & Geun-Ho Lee & Myung-Seop Lim, 2021. "Diagnosis and Robust Design Optimization of SPMSM Considering Back EMF and Cogging Torque due to Static Eccentricity," Energies, MDPI, vol. 14(10), pages 1-19, May.
    2. Akilu Yunusa-Kaltungo & Ruifeng Cao, 2020. "Towards Developing an Automated Faults Characterisation Framework for Rotating Machines. Part 1: Rotor-Related Faults," Energies, MDPI, vol. 13(6), pages 1-20, March.
    3. Anmol Aggarwal & Matthew Meier & Elias Strangas & John Agapiou, 2021. "Analysis of Modular Stator PMSM Manufactured Using Oriented Steel," Energies, MDPI, vol. 14(20), pages 1-19, October.
    4. Zijian Liu & Pinjia Zhang & Shan He & Jin Huang, 2021. "A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines," Energies, MDPI, vol. 14(14), pages 1-21, July.
    5. Steven Hayslett & Elias Strangas, 2021. "Analytical Design of Sculpted Rotor Interior Permanent Magnet Machines," Energies, MDPI, vol. 14(16), pages 1-22, August.

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