Journal of international Conference on Electrical Machines and Systems

Journal of International Conference on Electrical Machines and Systems (대한전기학회 분과)
권호 표지
DOI QR코드

DOI QR Code

Open and Short Circuit Switches Fault Detection of Voltage Source Inverter Using Spectrogram

  • Ahmad, N.S. (Dept. of Electrical Engineering, Uni.Tek.Malaysia) ;
  • Abdullah, A.R. (Dept. of Electrical Engineering, Uni.Tek.Malaysia) ;
  • Bahari, N. (Dept. of Electrical Engineering, Uni.Tek.Malaysia)
  • Received : 2014.04.21
  • Accepted : 2014.04.23
  • Published : 2014.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

In the last years, fault problem in power electronics has been more and more investigated both from theoretical and practical point of view. The fault problem can cause equipment failure, data and economical losses. And the analyze system require to ensure fault problem and also rectify failures. The current errors on these faults are applied for identified type of faults. This paper presents technique to detection and identification faults in three-phase voltage source inverter (VSI) by using time-frequency distribution (TFD). TFD capable represent time frequency representation (TFR) in temporal and spectral information. Based on TFR, signal parameters are calculated such as instantaneous average current, instantaneous root mean square current, instantaneous fundamental root mean square current and, instantaneous total current waveform distortion. From on results, the detection of VSI faults could be determined based on characteristic of parameter estimation. And also concluded that the fault detection is capable of identifying the type of inverter fault and can reduce cost maintenance.

Keywords

References

  1. Trabelsi, M., et al. An improved diagnosis technique for IGBTs open-circuit fault in PWM-VSI-fed induction motor drive. in Industrial Electronics (ISIE), 2011 IEEE International Symposium on. 2011.
  2. Bin, L. and S. Sharma. A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters. in Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE. 2008.
  3. Fuchs, F.W. Some diagnosis methods for voltage source inverters in variable speed drives with induction machines - a survey. in Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE. 2003.
  4. Bojoi, R., M.G. Neacsu, and A. Tenconi. Analysis and survey of multi-phase power electronic converter topologies for the more electric aircraft applications. in Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on. 2012.
  5. B. Raison, G.R.a.J.P.R., Towards a Global Monitoring Scheme for Induction Motor Drives. Proc. Int. Power Electron. Conf.2000, 2000: p. pp. 1183-1188.
  6. L. Zhang, I.B.A.a.L.N.H., A Knowledge-Based System forOn-line Fault Diagnosis of Power Inverter Circuits for AC machines. 1995.
  7. F. Charfi, F.S.a.K.A.-H., Fault diagnosis in power system using wavelet transforms and neural networks. 2006.
  8. Rioul, O. and M. Vetterli, Wavelets and signal processing. Signal Processing Magazine, IEEE, 1991. 8(4): p. 14-38.
  9. Jardan, K.R., S.B. Dewan, and G.R. Slemon, General Analysis of Three-Phase Inverters. Industryand General Applications, IEEE Transactions on,1969. IGA-5(6): p. 672-679. https://doi.org/10.1109/TIGA.1969.4181092
  10. Sibasish Pandaa, A.K.P.a.H.N.P., Fault Analysis on Grid Connected MPPT based Photovoltaic System. International Journal of Current Engineering and Technology, 2013.
  11. Abdullah, A.R., et al. Short-circuit switches faultanalysis of voltage source inverter using spectrogram. in Electrical Machines and Systems (ICEMS), 2013 International Conference on. 2013.
  12. Abdullah, A.R., et al. Open switch faults analysis in voltage source inverter using spectrogram. in Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International. 2013.
  13. Abidin, N.Q.Z., et al. Leakage current analysis on polymeric surface condition using time-frequency distribution. in Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012 Ieee International. 2012.
  14. Bin Abdullah, A.R., A.Z. Bin Sha'ameri, and A.B. Jidin. Classification of power quality signals using smoothwindowed Wigner-Ville distribution. in Electrical Machines and Systems (ICEMS), 2010 International Conference on. 2010.
  15. Abdullah, A.R., A.Z. Sha'ameri, and N.M. Saad.Power quality analysis using spectrogram and gabor transformation. in Applied Electromagnetics, 2007. APACE 2007. Asia-Pacific Conference on.2007.
  16. Abdullah, A.R. and A.Z. Sha'ameri. Powerqualityanalysis using linear time-frequency distribution. in Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International. 2008.
  17. R.C.Dugan, S.S., M. f. McGranaghan and H.W.beaty, Electrical Power System Quality. McGraw Hill 2002.
  18. M.T.Thompson, A.K.a., Power Quality in Electrical Systems. McGraw Hill, 2007.
  19. Gu, H.J.B.a.Y.H., Signal Processing of Power Quality. Wiley-Interscience , 2006.

Cited by

  1. Voltage Source Inverter Switches Faults Analysis Using S-Transform pp.2301380X, 2016, https://doi.org/10.18178/ijeee.4.2.157-161
  2. Comparison of Open and Short-Circuit Switches Faults Voltage Source Inverter (VSI) Analysis Using Time-Frequency Distributions vol.752-753, pp.1662-7482, 2015, https://doi.org/10.4028/www.scientific.net/AMM.752-753.1164
  3. Voltage Source Inverter Fault Detection System Using Time Frequency Distribution vol.761, pp.1662-7482, 2015, https://doi.org/10.4028/www.scientific.net/AMM.761.88