Skip to main content
SpringerLink
Log in

Condition Assessment of Power Plant Motors Using a Set of Diagnostic Methods

  • Published:
Power Technology and Engineering Aims and scope

Questions on the joint application of various diagnostic methods in order to evaluate the technical state of the functional units of induction motors are examined. The possibility of using a set of methods of vibration monitoring and signature analysis of the stator current and external magnetic field in the start-up and steady-state modes of induction motors is assessed. The studies were conducted on an actual high-voltage induction motor of the induced-draft fan of one of the thermal power plants. During the study, a search was done for mechanical defects, dynamic eccentricity, and rotor winding faults. The results of the conducted studies were analyzed, and confirmation was done of the effectiveness and expediency of the methods of the joint application of vibration monitoring and signature analysis of the signals of the stator current and external magnetic field, in order to detect faults in the rotor winding and the mechanical components of the induction motors.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. A. N. Nazarychev and D. S. Krupenev, Reliability and Evaluation of the Technical State of the Equipment of Electric Power Supply Systems. Textbook [in Russian], Nauka, Novosibirsk (2020).

  2. W. T. Thomson and R. J. Gilmore, “Motor current signature analysis to detect faults in induction motor drives. — Fundamentals, Data Interpretation and Industrial Case Histories,” in: Proc. 32nd Turbomachinery Symposium, Texas A&M University, September 2003, pp. 145 – 156.

  3. A. Thakur, S. Wadhwani, and A. K. Wadhwani, “Motor current signature analysis as a tool for induction machine fault diagnosis,” Int. J. Comp. Sci. Inf. Tech. Res., 3(3), 309 – 313 (2015).

    Google Scholar 

  4. N. Mehala, “Current signature analysis for condition monitoring of motors,” Int. J. Elec. Comp. Eng., 1(3), 1629 – 1633 (2012).

    Google Scholar 

  5. N. Turk, “Fault diagnosis of induction motor using MCSA,” Int. J. Elec. Comp. Eng., 8, 13 – 18 (2016).

    Google Scholar 

  6. S. Shukla, M. Jha, and M. F. Qureshi, “Motor current signature analysis for fault diagnosis and condition monitoring of induction motors using interval type-2 fuzzy logic,” Int. J. Innov. Sci. Eng. Tech. (UISET), 1(5), 84 – 95 (2014).

    Google Scholar 

  7. R. Romary, R. Corton, D. Thailly, and J. F. Brudny, “Induction machine fault diagnosis using an external radial flux sensor,” EPJ. Appl. Phys., 32(2), 125 – 132 (2005).

    Article  Google Scholar 

  8. V. Fireteanu, R. Romary, R. Pusca, and A. Ceban, “Finite element analysis and experimental study of the near-magnetic field for detection of rotor faults in induction motors,” Prog. Electromagn. Res., 50, 37 – 59 (2013).

    Article  Google Scholar 

  9. A. Yu. Alekseenko, O. V. Brodskii, V. N. Vedenev, V. G. Tonkikh, and S. O. Khomutov, “Diagnosis and prediction of the state of asynchronous motors, based on using the parameters of their exterior electromagnetic field,” Vestn. AltGTU, No. 2, 9 – 13 (2006).

  10. O. A. Andreeva, Development of Methods for Diagnosing Auxiliary Drives of Power Plants [in Russian], Kereky, Pavlodar (2015).

  11. V. A. Savel’ev, A. S. Strakhov, E. M. Novoselov, A. A. Skorobogatov, and I. N. Sulynenkov, “Experimental and analytical determination of the diagnostic indication of defects of the rotor winding of an induction motor,” Vestn. IGÉU, No. 4, 44 – 53 (2018).

  12. A. N. Nazarychev, E. M. Novoselov, D. A. Polkoshnikov, A. S. Strakhov, and A. A. Skorobogatov, “Amethod of monitoring the state of the rotor windings of induction motors upon startup by the stator current,” Defektoskopiya, No. 8, 49 – 55 (2020).

  13. E. M. Novoselov, D. A. Polkoshnikov, V. A. Savel’ev, A. S. Strakhov, A. A. Skorobogatov, and I. N. Sulynenkov, “A method of monitoring the state of the rotor windings of highvoltage electric motors of auxiliary power stations upon startup,” Vestn. IGÉU, No. 4, 31 – 44 (2019).

  14. M. Pineda-Sanchez, “Instantaneous frequency of the left sideband harmonic during the start-up transient: A new method for diagnosis of broken bars,” IEEE T. Ind. Electron., 56(11), 4557 – 4570 (2009).

    Article  Google Scholar 

  15. V. V. Kuptsov, A. S. Gorzunov, and A. S. Sarvarov, “Development of a procedure for current diagnosis of asynchronous motors using oscillograms of nonstationary modes of operation,” Vestn. Yuzhno-Ural. Gos. Univ. Seria Énerg., No. 34(167), 48 – 53 (2009).

  16. A. A. Skorobogatov, “Analysis of the spectrum of the magnetic field in the clearance of an asynchronous motor for a rotor winding fault,” Vestn. IGÉU, No. 2, 75 – 78 (2006).

  17. V. A. Rusov, Diagnosis of Defects of Rotary Equipment from Vibration Signals [in Russian], Perm (2012).

  18. H. Çalis, “Vibration and motor current analysis of induction motors to diagnose mechanical faults,” J. Meas. Eng., 2(4), 190 – 198 (2014).

    Google Scholar 

  19. A. V. Barkov and N. A. Barkova, Vibration Diagnostics of Machines and Equipment. Analysis of Vibrations [in Russian], Izd. Tsentr SpbMGTU, (2004).

  20. Y. Gritli, A. O. DiTommaso, R. Miceli, F. Filippetti, and C. Rossi, “Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives,” in: 4th Int. Conf. on Power Engineering, Energy and Electrical Drives, Istanbul, Turkey, 2013, 13 – 17 May, pp. 1814 – 1820.

  21. A. B. Kolobov, Vibration Diagnostics: Theory and Practice. Textbook [in Russian], Infra-Inzheneriya, Moscow – Vologda (2019).

  22. A. B. Kolobov, Vibration Monitoring of Industrial Machines. Textbook [in Russian], Infra-Inzheneriya, Moscow – Vologda (2021).

  23. Regulations for Engineering Maintenance of Power Plants and Grids of the Russian Federation [in Russian], Approved by the order of the Ministry for the Power Generating Industry of Russia, dated 6/19/2003, No. 229 (2003).

Download references

Author information

Authors and Affiliations

  1. St. Petersburg Mining University, St. Petersburg, Russia

    A. N. Nazarychev

  2. V. I. Lenin Ivanovo State Power Engineering University, Ivanovo, Russia

    A. S. Strakhov, E. M. Novoselov, A. B. Kolobov, D. A. Polkoshnikov, M. A. Zakharov, I. N. Sulynenkov & A. A. Skorobogatov

Authors
  1. A. N. Nazarychev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. S. Strakhov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. E. M. Novoselov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. A. B. Kolobov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. D. A. Polkoshnikov
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. M. A. Zakharov
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. I. N. Sulynenkov
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. A. A. Skorobogatov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. S. Strakhov.

Additional information

Translated from Élektricheskie Stantsii, No. 4, April 2023, pp. 23 – 30. https://doi.org/10.34831/EP.2023.1101.4.004

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nazarychev, A.N., Strakhov, A.S., Novoselov, E.M. et al. Condition Assessment of Power Plant Motors Using a Set of Diagnostic Methods. Power Technol Eng 57, 458–464 (2023). https://doi.org/10.1007/s10749-023-01684-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10749-023-01684-9

Keywords

Search

Navigation