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Print ISSN: 1582-7445
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  4/2014 - 8

 HIGH-IMPACT PAPER 

Detection of Inter-turn Faults in Five-Phase Permanent Magnet Synchronous Motors

SAAVEDRA, H. See more information about SAAVEDRA, H. on SCOPUS See more information about SAAVEDRA, H. on IEEExplore See more information about SAAVEDRA, H. on Web of Science, RIBA, J.-R. See more information about  RIBA, J.-R. on SCOPUS See more information about  RIBA, J.-R. on SCOPUS See more information about RIBA, J.-R. on Web of Science, ROMERAL, L. See more information about ROMERAL, L. on SCOPUS See more information about ROMERAL, L. on SCOPUS See more information about ROMERAL, L. on Web of Science
 
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Download PDF pdficon (890 KB) | Citation | Downloads: 727 | Views: 3,181

Author keywords
permanent magnet motors, fault diagnosis, fault detection, fault tolerance, harmonic analysis

References keywords
magnet(14), permanent(12), machines(12), faults(11), phase(10), stator(8), induction(8), fault(8), winding(7), turn(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 49 - 54
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04008
Web of Science Accession Number: 000348772500008
SCOPUS ID: 84921628550

Abstract
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Five-phase permanent magnet synchronous motors (PMSMs) have inherent fault-tolerant capabilities. This paper analyzes the detection of inter-turn short circuit faults in five-phase PMSMs in their early stage, i.e. with only one turn in short circuit by means of the analysis of the stator currents and the zero-sequence voltage component (ZSVC) spectra. For this purpose, a parametric model of five-phase PMSMs which accounts for the effects of inter-turn short circuits is developed to determine the most suitable harmonic frequencies to be analyzed to detect such faults. The amplitudes of these fault harmonic are analyzed in detail by means of finite-elements method (FEM) simulations, which corroborate the predictions of the parametric model. A low-speed five-phase PMSM for in-wheel applications is studied and modeled. This paper shows that the ZSVC-based method provides better sensitivity to diagnose inter-turn faults in the analyzed low-speed application. Results presented under a wide speed range and different load levels show that it is feasible to diagnose such faults in their early stage, thus allowing applying a post-fault strategy to minimize their effects while ensuring a safe operation.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [Web of Science Times Cited 166] [SCOPUS Times Cited 187]


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[8] J.-C. Urresty, J.-R. Riba, M. Delgado, L. Romeral, "Detection of demagnetization faults in surface-mounted permanent magnet synchronous motors by means of the zero-sequence voltage component," IEEE Trans. Energy Convers., vol. 27, no. 1, pp. 42-51, Mar. 2012.
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[CrossRef]


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[13] J. A. Haylock, B. C. Mecrow, A. G. Jack, D. J. Atkinson, "Operation of fault tolerant machines with winding failures," IEEE Trans. Energy Convers., vol. 14, no. 4, pp. 1490-1495, 1999.
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[14] J.-C. Urresty, J.-R. Riba, L. Romeral, "A Back-EMF Based Method to Detect Magnet Failures in PMSMs," IEEE Trans. Magn., vol. 49, no. 1, pp. 591-598, Jan. 2013.
[CrossRef] [Web of Science Times Cited 86] [SCOPUS Times Cited 100]


[15] J.-H. Choi, B.-G. Gu, C.-Y. Won, "Modeling and Analysis of PMSMs under Inter Turn Short Faults," Electr. Eng. Technol., vol. 8, no. 5, pp. 1243-1250, 2013.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 11]


[16] W. Tang, G. Liu, J. Ji, "Winding Turn-to-Turn Faults Detection of Five-Phase Fault-Tolerant Permanent-Magnet Machine Based on Parametric Model," in Proc. 15th International Conference on Electrical Machines and Systems (ICEMS), 2012, pp. 1-6.

[17] D. Casadei, F. Filippetti, M. Mengoni, Y. Gritli, G. Serra, A. Tani, L. Zarri, "Detection of Magnet Demagnetization in Five-Phase Surface-Mounted Permanent Magnet Generators," in Proc. 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2012, pp. 841-848.
[CrossRef] [SCOPUS Times Cited 24]


[18] S. Nandi, "Detection of Stator Faults in Induction Machines Using Residual Saturation Harmonics," IEEE Trans. Ind. Electron., vol. 42, no. 5, pp. 1201-1208, Sep./Oct. 2006.
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[20] J.-C. Urresty, J.-R. Riba, 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.
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[21] B. M. Ebrahimi, J. Faiz, "Feature Extraction for Short-Circuit Fault Detection in Permanent-Magnet Synchronous Motors Using Stator-Current Monitoring," IEEE Trans. Power Electronics, vol. 25, no. 10, pp. 2673-2682, Oct. 2010.
[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 122]


[22] M. A. Awadallah, M. M. Morcos, S. Gopalakrishnan, T. W. Nehl, "Detection of Stator Short Circuits in VSI-Fed Brushless DC Motors Using Wavelet Transform," IEEE Trans. Energy Convers., vol. 21, no. 1, pp. 1-8, March 2006.
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[24] M. A. Cash, T. G. Habetler, G. B. Kliman, "Insulation failure prediction in AC machines using line-neutral voltages," IEEE Trans. Ind. Electron., vol. 34, no. 6, pp. 1234-1239, Jun. 1998.
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[CrossRef]


[27] L. A. Pereira, C. C. Scharlau, L.F. Fernando Alves, S. Haffner, "Influence of Saturation on the Airgap Induction Waveform of Five-Phase Induction Machines," IEEE Trans. Energy Convers., vol. 27, no. 1, pp. 29-41, March 2012.
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[28] C. C. Yeh, R. J. Povinelli, B. Mirafzal, N. A. O. Demerdash, "Diagnosis of Stator Winding Inter-Turn Shorts in Induction Motors Fed by PWM-Inverter Drive Systems Using a Time-Series Data Mining Technique," in Proc. of IEEE International Conference on Power System Technology, 2004, vol. 1, pp. 891-896.
[CrossRef]


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[CrossRef] [SCOPUS Times Cited 11]


[30] L. Romeral, J.-C. Urresty, J.-R. Riba, A. Garcia, "Modeling of Surface-Mounted Permanent Magnet Synchronous Motors With Stator Winding Inter-Turn Faults," IEEE Trans. Ind. Electr., vol. 58, no. 5, pp. 1576-1585, May 2011.
[CrossRef] [Web of Science Times Cited 164] [SCOPUS Times Cited 191]




References Weight

Web of Science® Citations for all references: 2,845 TCR
SCOPUS® Citations for all references: 3,516 TCR

Web of Science® Average Citations per reference: 92 ACR
SCOPUS® Average Citations per reference: 113 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-10-02 14:13 in 176 seconds.




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