전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제66권2호
  • /
  • Pages.394-401
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  • 2017
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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역상 임피던스를 이용한 매립형 영구자석 동기전동기의 권선간 고장진단

Interturn Fault Diagnosis in Interior Permanent Magnet Synchronous Motors Using Negative-Sequence Impedance

  • Jeong, Hyeyun (Dept. of Electrical and Electronic Engineering, Pohang University of Science and Technology) ;
  • Kim, Sang Woo (Dept. of Electrical and Electronic Engineering, Pohang University of Science and Technology)
  • 투고 : 2016.12.16
  • 심사 : 2017.01.09
  • 발행 : 2017.02.01
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초록

Fault diagnosis is important due to the increasing demand of using interior permanent magnet synchronous machines (IPMSMs). In particular, an interturn fault is one of the most frequent electrical faults in IPMSMs. This paper proposes a fault indicator for diagnosis of interturn faults in IPMSMs. The fault indicator is developed by negative-sequence impedance. The effectiveness of the fault indicator to diagnose interturn faults was verified through various fault conditions.

키워드

참고문헌

  1. J. Hur, "Characteristic analysis of interior permanent-magnet synchronous motor in electro hydraulic power steering systems," IEEE Trans. Ind. Electron., vol. 55, no. 6, pp. 2316-323, 2008. https://doi.org/10.1109/TIE.2008.918402
  2. FS. Nandi, H. Toliyat, and X. Li, "Condition monitoring and fault diagnosis of electrical motors-a review," IEEE Trans. Energy Convers., vol. 20, no. 4, pp. 719-29, Dec 2005. https://doi.org/10.1109/TEC.2005.847955
  3. Z. Wang, J. Yang, Y. Huiping, and W. Zhou, "A review of permanent magnet synchronous motor fault diagnosis," in Proc. IEEE ITEC Asia-Pacific, Aug 2014, pp. 1-5.
  4. "IEEE recommended practice for the design of reliable industrial and commercial power systems", IEEE Std493-1997[IEEE Cold Book], Appendix H.
  5. A. Gandhi, T. Corrigan, and L. Parsa, "Recent advances in modeling and online detection of stator interturn faults in electrical motors," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1564-575, May 2011. https://doi.org/10.1109/TIE.2010.2089937
  6. W. T. Thomson and M. Fenger, "Current signature analysis to detect induction motor faults," IEEE Ind. Appl. Mag., vol. 7, no. 4, pp. 26-34, July/Aug. 2001. https://doi.org/10.1109/2943.930988
  7. J. F. Martins, V. F. Pires, and A. Pires, "Unsupervised neural-network based algorithm for an on-line diagnosis of three-phase induction motor stator fault," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 259-264, Feb. 2007. https://doi.org/10.1109/TIE.2006.888790
  8. S. Moosavi, A. Djerdir, Y. Ait-Amirat, and D. Khaburi, "Ann based fault diagnosis of permanent magnet synchronous motor under stator winding shorted turn," Electric Power Systems Research, vol. 125, pp. 67-82, Apr. 2015. https://doi.org/10.1016/j.epsr.2015.03.024
  9. Y. Nyanteh, C. Edrington, S. Srivastava, and D. Cartes, "Application of artificial intelligence to real-time fault detection in permanent-magnet synchronous machines," IEEE Trans. Ind. Appl., vol. 49, no. 3, pp. 1205-1214, May/June 2013. https://doi.org/10.1109/TIA.2013.2253081
  10. M. S. Ballal, Z. J. Khan, H. M. Suryawanshi, and R. L. Sonolikar, "Adaptive neural fuzzy inference system for the detection of inter-turn insulation and bearing wear faults in induction motor," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 250-258, Feb. 2007. https://doi.org/10.1109/TIE.2006.888789
  11. A. Sarikhani and O. A. Mohammed, "Inter-turn fault detection in pm synchronous machines by physics-based back electromotive force estimation," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3472-3484, Aug. 2013. https://doi.org/10.1109/TIE.2012.2222857
  12. J. Hang, J. Zhang, M. Cheng, and J. Huang, "Online interturn fault diagnosis of permanent magnet synchronous machine using zero-sequence components," IEEE Trans. Power Electron., vol. 30, no. 12, pp. 6731-6741, Dec. 2015. https://doi.org/10.1109/TPEL.2015.2388493
  13. J. He, A. Fatemi, Nabeel A. O. Demerdash, and Dan M. Ionel, "Diagnosis of stator short-circuit faults in series and parallel winding connections of closed-loop controlled PMSMs", IEEE IMDEC, 2015.
  14. H. Mahmoud, A. A.-E. Abdallh, N. Bianchi, El-Hakim, A. Shaltout, and L. Dupre, "An inverse approach for interturn fault detection in asynchronous machines using magnetic pendulous oscillation technique", IEEE Trans. Ind. App., vol. 52, no. 1, JAN/FEB 2016.