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Comparative Investigation of Three Diagnostic Methods Applied to Direct-Drive Permanent Magnet Machines Suffering from Demagnetization

Author

Listed:
  • Syidy Ab Rasid

    (School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, UK)

  • Konstantinos N. Gyftakis

    (School of Electrical and Electronic Engineering, Technical University of Crete, 73100 Chania, Greece)

  • Markus Mueller

    (School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, UK)

Abstract

Direct-drive permanent magnet machines are ideal candidates for remote renewable applications, due to their independence from gearboxes and minimization of maintenance needs. However, faults may still appear in the generator of such a machine and affect its operation and production. Not only can demagnetization cause a catastrophic breakdown if left unchecked, but it also directly impacts the output quality of generators. As such, demagnetization is a topic of great interest. This paper investigated the sensitivity of three diagnostic methods—current signature analysis (CSA), Park’s vector approach (PVA), and extended Park’s vector approach (EPVA)—for demagnetization fault detection on a coreless permanent magnet generator.

Suggested Citation

  • Syidy Ab Rasid & Konstantinos N. Gyftakis & Markus Mueller, 2023. "Comparative Investigation of Three Diagnostic Methods Applied to Direct-Drive Permanent Magnet Machines Suffering from Demagnetization," Energies, MDPI, vol. 16(6), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2767-:d:1098990
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    References listed on IDEAS

    as
    1. 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.
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    3. Apostolos Lamprokostopoulos & Epameinondas Mitronikas & Alexandra Barmpatza, 2022. "Detection of Demagnetization Faults in Axial Flux Permanent-Magnet Synchronous Wind Generators," Energies, MDPI, vol. 15(9), pages 1-15, April.
    4. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
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