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Rotor broken-bar fault diagnosis of induction motor based on HHT of the startup electromagnetic torque

  • Research Article
  • Published:
Frontiers of Electrical and Electronic Engineering in China

Abstract

This paper presents a new method for rotor broken-bar fault diagnosis of induction motors. The asymmetry of the rotor caused by broken-bar fault will give rise to the appearance of additional frequency component of 2sf s (s is slip and f s is supply frequency) in the electromagnetic torque spectrum. The startup electromagnetic torque signal is decomposed into several intrinsic mode function (IMF) with empirical mode decomposition (EMD) based on the Hilbert-Huang Transform. Then, using the instantaneous frequency extraction principle of the Hilbert Transform, the rotor broken-bar fault characteristic frequency of 2sf s can be exactly extracted from the IMF component, which includes the rotor fault information. Moreover, the magnitude of the IMF which includes the rotor fault information can also give the number of rotor broken bars. Experimental results demonstrate that the proposed electromagnetic torque-based fault diagnosis method is feasible.

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References

  1. Ethan, Y. H., Song, Condition monitoring techniques for electrical equipment-A literature survey, IEEE Trans. Power Deliv., 2003, 18(1): 4–13

    Article  Google Scholar 

  2. Belling A., On-field experience with online diagnosis of large induction motors cage failures using MCSA, IEEE Trans. Ind. Appl., 2002, 38(4), 1045–1053

    Article  Google Scholar 

  3. Belling A., Foreknow Flippest, et al., Quantitave evaluation of induction motor broken bars by means of electrical signature analysis, IEEE Trans. Ind. Appl., 2001, 37(5), 1248–1255

    Article  Google Scholar 

  4. Liu Z., Yin X., et al., On-line monitoring and diagnosis way based on spectrum analysis of Hilbert modulus in induction motors, Procedings of the CSEE, 2003, 23(7):158–161

    Google Scholar 

  5. Hou X., Wu G., et al., A method for detecting rotor faults in asynchronous motors based on the square of the park’s vector modulus, Procedings of the CSEE, 2003, 23(9): 137–140

    Google Scholar 

  6. Cruz S. M. A., Marques Cardoso A. J., Rotor cage fault diagnosis in three-phase induction motors by the total instantaneous power spectral analysis, Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting, 3: 1929–1934

    Article  Google Scholar 

  7. Trzynadlowski A. M., Ewen Ritchie, Comparative investigation of diagnostic media for induction motors: A Case of Rotor Cage Faults, IEEE Trans. Ind. Electron., 2000, 47(5), 1092–1099

    Article  Google Scholar 

  8. Hsu J. S., Monitoring of defects in induction motors through air-gap torque observation, IEEE Trans. Ind. Appl., 1995, 31(5): 1016–1021

    Article  Google Scholar 

  9. Zhang Z., Ren Z., et al., A novel method of motor faulted rotor detection based on wavelet ridge, Procedings of the CSEE, 2003, 23(1): 97–101

    MathSciNet  Google Scholar 

  10. Huang N. E., The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time data analysis, Proc. R. Soc. Lond. A, 1998, 454: 903–995

    Article  MATH  Google Scholar 

  11. Thomas V. V., Vasudevan K., et al., Online cage rotor fault detection using air-gap torque spectrum, IEEE Trans. Energy Convers., 2003, 18(2): 265–270

    Article  Google Scholar 

Download references

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Correspondence to Niu Fa-liang.

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Translated from Proceedings of the Chinese Society for Electrical Engineering, 2005, 25(11):107–112 (in Chinese)

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Niu, Fl., Huang, J., Yang, Jq. et al. Rotor broken-bar fault diagnosis of induction motor based on HHT of the startup electromagnetic torque. Front. Electr. Electron. Eng. China 1, 188–193 (2006). https://doi.org/10.1007/s11460-006-0022-3

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  • DOI: https://doi.org/10.1007/s11460-006-0022-3

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