Skip to main content
Log in

Experimental Determination of Diagnostic Signs of Damage to the Rotor Windings of High-Voltage Power Plant Motors in Startup Mode

  • ELECTROMAGNETIC METHODS
  • Published:
Russian Journal of Nondestructive Testing Aims and scope Submit manuscript

Abstract

Induction electric motors are widely used as drives of various mechanisms in power engineering and industry. Their failure can lead to costly repairs, to a reduction in power, or, for example, to a complete shutdown of a power plant unit. One of the reasons for the failure of high-voltage induction motors operating under severe starting conditions is damage to the squirrel-cage rotor winding. Existing methods for monitoring the breakage of the winding bars of such electric motors are ineffective due to the peculiarities of their operating modes. Therefore, monitoring the condition of the bars of high-voltage motors at startup and searching for diagnostic signs is an urgent task. Initially, the studies were carried out with a model of a high-voltage induction motor, developed in the ANSYS software package. To confirm the results obtained for a real motor, research has also been conducted on the developed experimental bench. The recorded signals were processed based on the method of short-time Fourier transform in the MatLab environment. In the course of the study, it was shown that, in the presence of bar breaks, the spectrum of an induction motor exhibits sharply increased amplitudes of harmonic components of the dummy rotor winding at the lower side frequencies of the first orders; this confirms the possibility of using external magnetic field signal at startup to detect the presence of bar breaks in the squirrel-cage rotor winding of high-voltage induction motors with heavy prolonged starts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.

Similar content being viewed by others

REFERENCES

  1. Babu, W. R., Ravichandran, C.S., and Matheswaran, V., Performance analysis of medium voltage induction motor using stator current profile, Int. J. Adv. Res. Electr. Electron. Instrum. Eng., 2015, vol. 4, no 4, pp. 2129–2136.

    Google Scholar 

  2. Jahić, A., Hederić, Z., and Atić, M., Detection of failures on the high-voltage cage induction motor rotor, Int. J. Electr. Comput. Eng. Syst., 2015, vol. 6, no. 1, pp. 15–21.

    Google Scholar 

  3. Veinreb, K., Diagnostics of the rotor of induction motor by the method of spectral analysis of stator currents, Vestn. Ross. Akad. Nauk. Energ., 2013, no. 4, pp. 133–154.

  4. Thomson, W.T. and Gilmore, R.J., Motor current signature analysis to detect faults in induction motor drives—fundamentals, data interpretation and industrial case histories, in Proc. 32nd Turbomach. Symp., Texas: A&M Univ., September 2003, pp. 145–156.

  5. Rusoev, V.A., Spektral’naya vibrodiagnostika (Spectral Vibrodiagnostics), Perm: Vibro-Tsentr, 1996.

  6. Gritli, Y., Di Tommaso, A.O., Miceli, R., Filippetti, F., and Rossi, C., Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives, in 4th Int. Conf. Power Eng., Energy Electr. Drives, Istanbul, Turkey, May 13–17, 2013, pp. 1814–1820.

  7. Novoselov, E.M., Savel’ev, V.A., Skorobogatov, A.A., Strakhov, A.S., and Sulynenkov, I.N., Evaluation of the possibility of using the radial component of external magnetic field for the purpose of diagnosing induction electric motors, Vestn. IGEU, 2018, no. 3, pp. 38–46.

  8. Devillers, E., Le Besnerais, J., Lubin, T., Hecquet, M., and Lecointe, J., An improved 2D subdomain model of squirrel cage induction machine including winding and slotting harmonics at steady state, IEEE Trans. Magn., 2018, vol. 54, no. 2, p. 12.

    Article  Google Scholar 

  9. Kliman, G.B., Koegl, R.A., Stein, J., Endicott, R.D., and Madden, M.W., Noninvasive detection of broken rotor bars in operating induction motors, IEEE Trans. Energy Convers., 1988, vol. 3, no. 4, pp. 873–879.

    Article  Google Scholar 

  10. Fireteanu, V., Romary, R., Pusca, R., and Ceban, A., Finite element analysis and experimental study of the near magnetic field for detection of rotor faults in induction motors, Progr. Electromagn. Res., 2013, vol. 50, pp. 37–59.

    Article  Google Scholar 

  11. Syromyatnikov, I.A., Rezhimy raboty asinkhronnykh i sinkhronnykh dvigatelei (Modes of Operation of Induction and Synchronous Motors), Mamikonyants, L.G., Ed., Moscow: Energoatomizdat, 1984, 4th ed.

    Google Scholar 

  12. Sivokobylenko, V.F., Kuz’menko, D.I., and Yaremenko, S.P., Diagnostics of bars of double squirrel-cage and deep-bar short-circuited rotors of induction motors, Nauk. Pr. Donetsk. Nats. Tekh. Univ., 2011, no. 10 (180), pp. 148–152.

  13. Pu Shi, Chen, Z., and Vagapov, Y., Wavelet transform based broken rotor-bar fault detection and diagnosis performance evaluations, Int. J. Comput. Appl., 2013, vol. 69, no.14, pp. 36–43.

    Google Scholar 

  14. Pineda-Sanchez, M. et al., Instantaneous frequency of the left sideband harmonic during the start-up transient: a new method for diagnosis of broken bars, IEEE Trans. Ind. Electron., 2009, vol. 56, no. 11, pp. 4557–4570.

    Article  Google Scholar 

  15. Savel’ev, V.A., Strakhov, A.S., Novoselov, E.M., Skorobogatov, A.A., and Sulynenkov, I.N., Experimental and analytical determination of the diagnostic sign of defects in the rotor winding of an induction motor, Vestn. IGEU, 2018, no. 4, pp. 44–53.

  16. Novoselov, E.M., Polkoshnikov, D.A., and Skorobogatov, A.A., Study of the influence of operational factors on the external magnetic field of an induction electric motor, in Mater. trinadtsatoi mezhdunar. nauchn.-tekh. konf. stud. aspir. molod. uchen. “Energiya” (Mater. Thirteenth Int. Sci. Tech. Conf. Stud. Post-Grad. Stud. Young Sci. “Energy-2018”), Ivanovo, 2018, vol. 3, pp. 134–135.

  17. Novoselov, E.M., Polkoshnikov, D.A., Savel’iev, V.A., Strakhov, A.S., Skorobogatov, A.A., and Sulynenkov, I.N., Method for monitoring the state of rotor windings of high-voltage plant electric motors at startup, Vestn. IGEU, 2019, no 4, pp. 31–44.

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to A. N. Nazarychev, E. M. Novoselov, D. A. Polkoshnikov, A. S. Strakhov, A. A. Skorobogatov or A. A. Pugachev.

Additional information

Translated by V. Potapchouck

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nazarychev, A.N., Novoselov, E.M., Polkoshnikov, D.A. et al. Experimental Determination of Diagnostic Signs of Damage to the Rotor Windings of High-Voltage Power Plant Motors in Startup Mode. Russ J Nondestruct Test 56, 408–416 (2020). https://doi.org/10.1134/S1061830920050071

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1061830920050071

Keywords:

Navigation