Русская версия English version
Home / 2024 issue 5 / On the possibility of monitoring the condition of induction motors with a variable speed drive by spectral analysis method

On the possibility of monitoring the condition of induction motors with a variable speed drive by spectral analysis method

A.N. Nazarychev, M.A. Zakharov, A.S. Strakhov, E.M. Novoselov, D.A. Polkoshnikov, A.A. Skorobogatov

Vestnik IGEU, 2024 issue 5, pp. 66—74

Download PDF

Abstract in English: 

Background. One of the important tasks of current energy power industry is to increase the reliability of induction motors operation. A promising direction for monitoring their technical condition is application of methods of spectral analysis of signals. However, very little attention is paid to the diagnostic assessment of induction motors as a part of a variable frequency drive, as well as the use of frequency converters for diagnostic purposes. Therefore, the issues related to monitoring the condition of induction motors with variable frequency drives are relevant and require scientific research. The purpose of the study is experimental evaluation of the possibility to use the spectral analysis method to assess the technical condition of induction motors driven by frequency converters.

Materials and methods. The research has been carried out on AIR71A6 induction motor with a serviceable rotor winding and one broken rotor bar rotor winding. The internal magnetic field is considered as a diagnostic signal in steady-state and start-up mode. The condition has been evaluated based on the determination of harmonics in the amplitude spectrum from the dummy rotor winding. A Short Time Fourier Transform is used for signal processing.

Results. The spectra of the internal magnetic field have been obtained at start-up and in steady-state mode when the engine is fed by an autotransformer and frequency converter. A diagnostic sign of the presence of broken bars, that is an increase of harmonic amplitudes from the dummy rotor winding, manifested itself not only when the electric motor is fed by an autotransformer, but also frequency driven. Comparing the amplitudes of harmonics in the presence and absence of a frequency converter allows us to conclude that interference of the converter slightly affect the amplitudes of specific harmonics.

Conclusions. Using the example of an internal magnetic field signal, it is shown that spectral analysis methods can be used to diagnose the induction motors condition with a variable speed drive.

References in English: 

1. Sedunin, A.M., Afanas’ev, D.O., Sidel’nikov, L.G. Vestnik Permskogo Natsional'nogo Issledovatel'skogo Politekhnicheskogo Universiteta, 2013, issue 12, pp. 15–18.

2. Siddiqui, K.M., Sahay, K., Giri, V.K. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2014, vol. 3, issue 1, pp. 6549–6565.

3. Skorobogatov, A.A. Vestnik IGEU, 2006, issue 2, pp. 75–78.

4. Veynreb, K. Izvestiya Rossiyskoy akademii nauk. Energetika, 2013, no. 4, pp. 133–154.

5. Safin, N.R., Prakht, V.A., Dmitrievskiy, V.A., Dmitrievskiy, A.A., Kazakbaev, V.M. Energobezopasnost' i energosberezhenie, 2014, no. 3, pp. 34–39.

6. Mehala, N. International Journal of Electronics and Computer Science Engineering, 2012, vol. 1, no. 3, pp. 1629–1633.

7. Turk, N. International Journal of Electrical and Computer Engineering, 2016, vol. 8, pp. 13–18.

8. Nazarychev, A.N., Novoselov, E.M., Polkoshnikov, D.A., Strakhov, A.S., Skorobogatov, A.A., Pugachev, A.A. Defektoskopiya, 2020, no. 5, pp. 3–11.

9. Novoselov, E.M., Savel'ev, V.A., Strakhov, A.S., Skorobogatov, A.A., Sulynenkov, I.N. Vestnik IGEU, 2018, issue 4, pp. 44–53.

10. Alekseenko, A.Yu., Brodskiy, O.V., Vedenev, V.N., Tonkikh, V.G., Khomutov, S.O. Vestnik AltGTU, 2006, no. 2, pp. 9–13.

11. Ceban, A., Fireteanu, V., Romary, R., Pusca, R., Taras, P. Finite Element Diagnosis of Rotor Faults in Induction Motors Based on Low Frequency Harmonics of the Near-Magnetic Field. IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics & Drives, Fault Modeling in Electrical Machines, Power Electronics and Drives. Bologna, Italy, 2011, pp. 192–198.

12. Ceban, A., Pusca, R., Romary, R. Study of Rotor Faults in Induction Motors Using External Magnetic Field Analysis. IEEE Transactions on Industrial Electronics, May 2012, vol. 59, № 5, pp. 2082–2093.

13. Luk'yanov, A.V., Mukhachev, Yu.S., Bel'skiy, I.O. Sistemy. Metody. Tekhnologii, 2014, no. 2(22), pp. 61–69.

14. Rusov, V.A. Diagnostika defektov vrashchayushchegosya oborudovaniya po vibratsionnym signalam [Diagnosis of defects in rotating equipment using vibration signals]. Perm', 2012. 252 p.

15. Gritli, Y., Di Tommaso, A.O., Miceli, R., Filippetti, F., Rossi, C. Vibration Signature Analysis for Rotor Broken Bar Diagnosis in Double Cage Induction Motor Drives. 4th International Conference on Power Engineering, Energy and Electrical Drives, Istanbul, Turkey, 13–17 May 2013. Istanbul, Turkey, 2013, pp. 1814–1820.

16. Kurnyshev, B.S., Fomin, P.A. Elektromagnitnaya sovmestimost' reguliruemykh asinkhronnykh elektroprivodov [Electromagnetic compatibility of adjustable induction electric drives]. Ivanovo, 2005. 100 p.

Key words in Russian: 
асинхронный двигатель, преобразователь частоты, спектральный анализ, внутреннее магнитное поле, обрыв стержня ротора
Key words in English: 
induction motor, variable speed drive, spectral analysis, internal magnetic field, broken rotor bar
The DOI index: 
10.17588/2072-2672.2024.5.066-074
Downloads count: 
22