Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Fault Diagnosis of Three-Phase PWM Inverters Using Wavelet and SVM

  • Published : 2009.05.20
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Abstract

In this paper, a diagnosis method for switch open-circuit faults in three-phase PWM inverters is proposed, which employs support vector machine (SVM) as classifying method. At first, a discrete wavelet transform (DWT) is used to detect a discontinuity of currents due to the fault, and then the features for fault diagnosis are extracted. Next, these features are employed as inputs for the SVM training. After training, the SVM produces an optimized boundary which is used identifying the fault. Finally, the fault classification is performed online with instantaneous features. The experimental results have verified the validity of the proposed estimation algorithm.

Keywords

References

  1. M. S. Ballal, H. M. Suryawanshi, and M. K. Mishra, "Detection of incipient faults in induction motors using FIS, ANN and ANFIS techniques," Journal of Power Electronics, Vol. 8, No. 2, pp. 181-191, April 2008
  2. M. E. H. Benbouzid, and G. B. Kliman, "What stator current processing-based technique to use for induction motor rotor faults diagnosis?," IEEE Trans. Energy Conv., Vol. 18, No. 2, pp. 238-244, June 2003 https://doi.org/10.1109/TEC.2003.811741
  3. N. H. Kim, "Rotor fault detection system for inverter driven induction motor using current signals and an Encoder," Journal of Power Electronics, Vol. 7, No. 4, pp. 271-277, Oct. 2007
  4. X. Huang, T. G. Habetler, and R. G. Harley, "Detection of rotor eccentricity faults in a closed-loop drive-connected induction motor using an artificial neural network," IEEE Trans. Power Electron., Vol. 22, No. 4, pp. 1552-1559, July 2007 https://doi.org/10.1109/TPEL.2007.900607
  5. A. Lahyani, P. Venet, G. Grellet, and P. J. Viverge, "Failure prediction of electrolytic capacitors during operation of a switchmode power supply," IEEE Trans. Power Electron., Vol. 13, No. 6, pp. 1199-1207, Nov. 1998 https://doi.org/10.1109/63.728347
  6. D. Kastha and B. K. Bose, "Investigation of fault modes of voltage-fed inverter system for induction motor drive," IEEE Trans. on Industry Applicat., Vol. 30, No. 1, pp. 1028-1038, July/August 1994 https://doi.org/10.1109/28.297920
  7. R. L. de Araujo Ribeiro, C. B. Jacobina, E. R. C. da Silva, and A. M. N. Lima, "Fault detection of open-switch damage in voltage-fed PWM motor drive systems," IEEE Trans. Power Electron., Vol. 18, No.2, pp. 587-593, March 2003 https://doi.org/10.1109/TPEL.2003.809351
  8. D. Diallo, M. E. H. Benbouzid, D. Hamad, and X. Pierre, "Fault detection and diagnosis in an induction machine drive: a pattern recognition approach based on concordia stator mean current vector," IEEE Trans. Energy Conv., Vol. 20, No. 3, pp. 512-519, Sept. 2005 https://doi.org/10.1109/TEC.2005.847961
  9. R. Peuget, S. Courtine, and J. P. Rognon, "Fault detection and isolation on a PWM inverter by knowledge-based model," IEEE Trans. Ind. Applicat., Vol. 34, No. 6, pp. 1318-1326, Nov./Dec. 1998 https://doi.org/10.1109/28.739017
  10. S. Abramik, W. Slezynski, J. Nieznanski, and H. Piquet, "A diagnostic method for on-line fault detection and localization in VSI-fed ac drives," EPE Proc., France, CD-ROM paper, 2003
  11. S. Khomfoi, and L. M. Tolbert, "Fault diagnosis system for a multilevel inverter using a neural network," IEEE Trans. Power Electron., Vol. 22, No. 3, pp. 1062-1069, May 2007 https://doi.org/10.1109/TPEL.2007.897128
  12. S. Mallat, Wavelet tour of signal processing, Academic press, 2nd Ed, 2000
  13. V. Kecman, Learning and Soft Computing, MIT Press, pp. 121-191, 2001
  14. D. J. Sebald, and J. A. Bucklew, "Support vector machine techniques for nonlinear equalization," IEEE Trans. Signal Process., Vol. 48, No. 11, pp. 3217-3226, Nov. 2000 https://doi.org/10.1109/78.875477
  15. A. G. Abo-Khalil and D.-C. Lee, "MPPT control of wind generation system based on estimated wind speed using SVR," IEEE Trans. Ind. Electron., Vol. 55, No. 3, pp. 1489-1490, March 2008 https://doi.org/10.1109/TIE.2007.907672
  16. D.-C. Lee and A. G. Abo-Khalil, "Optimal efficiency control of induction generators in wind energy conversion systems using support vector regression," Journal of Power Electronics, Vol. 8, No. 4, pp. 345-353, Oct. 2008