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

The Korean Institute of Electrical Engineers (대한전기학회)
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A Method for Offline Inter-Turn Fault Diagnosis of Interior Permanent Magnet Synchronous Motor through the Co-Analysis

연동해석을 통한 영구자석 동기전동기의 오프라인 Inter-Turn 고장진단법

  • Cho, Sooyoung (Dept. of Electrical Engineering, Hanyang University) ;
  • Oh, Ye Jun (Dept. of Electrical Engineering, Hanyang University) ;
  • Lee, GangSeok (Dept. of Electrical Engineering, Hanyang University) ;
  • Bae, Jae-Nam (Dept. of Electrical Engineering, Dongyang Mirae University) ;
  • Lee, Ju (Dept. of Electrical Engineering, Hanyang University)
  • Received : 2017.11.22
  • Accepted : 2018.01.30
  • Published : 2018.03.01
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Abstract

In this paper, inter-turn fault diagnosis of the interior permanent magnet synchronous motor (IPMSM) is performed in offline state by linking the finite element analysis (FEA) tool and control simulation tool. In order to diagnose the inter-turn fault, it is important to select the current value to determine the fault. First, the basic principles for inter-turn fault diagnosis of IPMSM are explained and co-analysis model for fault diagnosis is constructed. Further, in order to select the appropriate high frequency voltage, the change of the current value to be judged as failure was analyzed at various voltage and frequency conditions, and the change of the current value according to the number of the failed windings was analyzed. Finally, the current value to be judged as failure is selected.

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References

  1. B. Akin, S. Choi, U. Orguner, and H. A. Toliyat, "A simple real-time fault signature monitoring tool for motor-drive-embedded fault diagnosis systems," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1990-2001, May 2011. https://doi.org/10.1109/TIE.2010.2051936
  2. S. M. A. Cruz, H. A. Toliyat, and A. J.M. Cardoso, "DSP implementation of the multiple reference frames theory for the diagnosis of stator faults in a DTC induction motor drive," IEEE Trans. Energy Convers., vol. 20, no. 2, pp. 329-335, Jun. 2005. https://doi.org/10.1109/TEC.2005.845531
  3. B. Akin, S. B. Ozturk, H. A. Toliyat, and M. Rayner, "DSP-based sensorless electric motor fault diagnosis tools for electric and hybrid electric vehicle powertrain applications," IEEE Trans. Veh. Technol., vol. 58, no. 6, pp. 2679-2688, Jul. 2009. https://doi.org/10.1109/TVT.2009.2012430
  4. L. Romeral, J. C. Urresty, J. R. Riba Ruiz, and A. Garcia Espinosa, "Modeling of surface-mounted permanent magnet synchronous motors with stator winding interturn faults," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1576-1585, May 2011. https://doi.org/10.1109/TIE.2010.2062480
  5. J. C. Urresty, J. R. Riba, and L. Romeral, "Diagnosis of interturn faults in PMSMs operating under nonstationary conditions by applying order tracking filtering," IEEE Trans. Power Electron., vol. 28, no. 1, pp. 507-515, Jan. 2013. https://doi.org/10.1109/TPEL.2012.2198077
  6. B. Du, S. Wu, S. Han, and S. Cui, "Interturn fault diagnosis strategy for interior permanent-magnet synchronous motor of electric vehicles based on digital signal processor," IEEE Trans Ind. Electron., vol. 63, no. 3, pp. 1694-1706, Mar. 2016. https://doi.org/10.1109/TIE.2015.2496900
  7. P. J. Tavner and J. Penman, Condition Monitoring of Electrical Machines. Letchworth, U.K.: Res. Studies Press, 1987.
  8. S. Cho, H. Ahn, H. C. Liu, H. S. Hong, J. Lee and S. C. Go, "Analysis of Inductance According to the Applied Current in Spoke-Type PMSM and Suggestion of Driving Mode," IEEE Trans. Magn., vol. 53, no. 6, Art. no. 8202404.
  9. F. Briz, M. W. Degner, A. Zamarron, and J. M. Guerrero, "Online stator winding fault diagnosis in inverter-fed AC machines using high-frequency signal injection," IEEE Trans. Ind. Appl., vol. 39, no. 4, pp. 1109-1117, Jul./Aug. 2003. https://doi.org/10.1109/TIA.2003.813746