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Journal of Zhejiang University SCIENCE A

, Volume 9, Issue 2, pp 165–172 | Cite as

Diagnosis of stator faults in induction motor based on zero sequence voltage after switch-off

Article

Abstract

To improve the accuracy of the stator winding fault diagnosis in induction motor, a new diagnostic method based on the Hilbert-Huang transform (HHT) was proposed. The ratio of fundamental zero sequence voltage to positive sequence voltage after switch-off was selected as the stator fault characteristic, which could effectively avoid the influence of the supply unbalance and the load fluctuation, and directly represent the asymmetry in the stator. Using the empirical mode decomposition (EMD) based on HHT, the zero sequence voltage after switch-off was decomposed and the fundamental component was extracted. Then, the fault characteristic can be acquired. Experimental results on a 4-kW induction motor demonstrate the feasibility and effectiveness of this method.

Keywords

Induction motor Stator fault diagnosis Hilbert-Huang transform (HHT) Zero sequence voltage Empirical mode decomposition (EMD) 

Document code

CLC number

TM343 

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References

  1. Albizu, I., Zamora, I., Mazon, A.J., Tapia, A., 2006. Techniques for online diagnosis of stator shorted turns in induction motors. Electric Power Components and Systems, 34(1):97–114. [doi:10.1080/15325000691001359]CrossRefGoogle Scholar
  2. Arkan, M., Perovic, D.K., Unsworth, P., 2001. Online stator fault diagnosis in induction motors. IEE Proc.-Electric Power Appl., 148(6):537–547. [doi:10.1049/ip-epa:2001 0588]CrossRefGoogle Scholar
  3. Bachir, S., Tnani, S., Trigeassou, J.C., Champenois, G., 2006. Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines. IEEE Trans. on Ind. Electr., 53(3):963–973. [doi:10.1109/TIE.2006.874 258]CrossRefGoogle Scholar
  4. Cash, M.A., Habetler, T.G., Kliman, G.B., 1998. Insulation failure prediction in AC machines using line-neutral voltages. IEEE Trans. on Ind. Appl., 34(6):1234–1238. [doi:10.1109/28.738983]CrossRefGoogle Scholar
  5. Cruz, S.M.A., Cardoso, A.J.M., 2005. Multiple reference frames theory: a new method for the diagnosis of stator faults in three-phase induction motors. IEEE Trans. on Energy Conv., 20(3):611–619. [doi:10.1109/TEC.2005.847975]CrossRefGoogle Scholar
  6. Garcia, P., Briz, F., Degner, M.W., Diez, A.B., 2004. Diagnostics of Induction Machines Using the Zero Sequence Voltage. Conf. Record of the 2004 IEEE Industry Applications Conf. Piscataway, NJ, USA, p.735–742. [doi:10.1109/IAS.2004.1348496]Google Scholar
  7. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shin, H.H., Zheng, Q., Yen, N.C., Tung, C.C., Liu, H.H., 1998. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis. Proc. Royal Society of London, Series A, p.903–995.Google Scholar
  8. Kliman, G.B., Premerlani, W.J., Koegl, R.A., Hoeweler, D., 1996. A New Approach to On-line Turn Fault Detection in AC Motors. Conf. Record of the 1996 IEEE Industry Applications Conf. Piscataway, NJ, USA, p.687–693.Google Scholar
  9. Mirafzal, B., Demerdash, N.A.O., 2006. On innovative methods of induction motor interturn and broken-bar fault diagnostics. IEEE Trans. on Ind. Appl., 42(2):405–414. [doi:10.1109/TIA.2006.870038]CrossRefGoogle Scholar
  10. Nandi, S., 2005. Stator Fault Detection in Induction Machines Using Triplen Harmonics at Motor Terminal Voltage after Switch-off. IEEE Power Engineering Society General Meeting. New York, NY, USA, p.1897–1902. [doi:10.1109/PES.2005.1489457]Google Scholar
  11. Nandi, S., Toliyat, H.A., 2002. Novel frequency-domain-based technique to detect stator interturn faults in induction machines using stator-induced voltages after switch-off. IEEE Trans. on Ind. Appl., 38(1):101–109. [doi:10.1109/28.980363]CrossRefGoogle Scholar
  12. Nandi, S., Toliyat, H.A., Li, X.D., 2005. Condition monitoring and fault diagnosis of electrical motors—a review. IEEE Trans. on Energy Conv., 20(4):719–729. [doi:10.1109/TEC.2005.847955]CrossRefGoogle Scholar
  13. Sottile, J.Jr., Kohler, J.L., 1993. An on-line method to detect incipient failure of turn insulation in random-wound motors. IEEE Trans. on Energy Conv., 8(4):762–768. [doi:10.1109/60.260992]CrossRefGoogle Scholar
  14. Trutt, F.C., Sottile, J., Kohler, J.L., 2002. Online condition monitoring of induction motors. IEEE Trans. on Ind. Appl., 38(6):1627–1632. [doi:10.1109/TIA.2002.804758]CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.School of Electrical EngineeringZhejiang UniversityHangzhouChina

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