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Method of condition monitoring of rotor windings of the medium voltage induction motors of power plant auxiliaries in start-up modes

E.M. Novoselov, D.A. Polkoshnikov, V.A. Savelyev, A.S. Strakhov, A.A. Skorobogatov

Vestnik IGEU, 2019 issue 4, pp. 31—44

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Abstract in English: 

Background. A promising method of monitoring rotor winding condition of induction electric motors ensuring higher reliability of their operation is spectral analysis of the external magnetic field signal. Modern methods of external magnetic field analysis use only the spectrum of this signal in the steady-state operation mode, which does not allow effective monitoring on a number of medium voltage electric motors of power plant auxiliaries operating with long start-ups (for example, machines with variable load, with a double squirrel cage, etc.). It is possible to evaluate the rotor winding condition of such machines in start-up modes, which means that an important task is to study the frequency-time spectra of the external magnetic field of the above-mentioned electric motors and to develop a method for monitoring the state of their rotor windings in the startup mode.

Materials and methods. In the study, the authors used two-dimensional models of two different types of motors representing drives of the mechanisms of draft systems at power stations. Both models are developed in the ANSYS software package. The calculation of the external magnetic field was carried out using the finite element method. The modelling was done for cases with or without defects. Signal processing was performed using the Fourier window transform method in the MatLab software package.

Results. Frequency-time spectra of the external magnetic field were built in the start-up mode on models of the investigated induction motors with the following defects: with dynamic eccentricity, with one broken bar of the rotor winding and without the indicated defects. The research results allowed us to develop a method for monitoring the rotor winding state of medium voltage electric motors of power plant auxiliaries operating with long start-ups. The method is based on detecting lower side frequencies of the fictitious rotor winding harmonics in the frequency-time spectrum during the startup. Their specific feature is «reflection» in the spectrum from the time axis.

Conclusions. The developed method of monitoring rotor winding condition of the above-mentioned induction electric motors allows increasing the reliability of their operation by timely detection of faults in the rotor windings.

References in English: 

1. Jahić, A., Hederić, Z., Atić, M. Detection of Failures on the High-Voltage Cage Induction Motor Rotor. International Journal of Electrical and Computer Engineering Systems, 2015, vol. 6, no. 1, pp. 15–21.

2. Andreeva, O.A. Razrabotka metodov dia-gnostiki dvigateley sobstvennykh nuzhd elektricheskikh stantsiy [Development of methods for motor diagnostic of power plant auxiliaries]. Pavlodar: Kereku, 2015. 142 p.

3. Bobrov, V.V., Khomutov, S.O. Polzunovskiy al'manakh, 2011, no. 2, pp. 114–118.

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

5. Novoselov, E.M., Savel'ev, V.A., Sko-robogatov, A.A., Strakhov, A.S., Sulynenkov, I.N. Vestnik IGEU, 2018, issue 3, pp. 38–46.

6. Kliman, G.B., Koegl, R.A., Stein, J., Endicott, R.D., Madden, M.W. Noninvasive detection of broken rotor bars in operating induction motors. IEEE Transactions on Energy Convertion, 1988, vol. 3, issue 4, pp. 873–879.

7. Elkasabgy, N.M., Eastham, A.R., Dawson, G.E. Detection of broken bars in the cage rotor on an induction machine. IEEE Transactions on Industry Applications, 1992, vol. 28, issue 1, pp. 165–171.

8. Fireteanu, V., Romary, R., Pusca, R., Ceban, A. Finite element analysis and experimental study of the nearmagnetic field for detection of rotor faults in induction motors. Progress In Electromagnetics Research, 2013, vol. 50, pp. 37–59.

9. Henao, H., Demian, C., Capolino, G.A. Frequency-domain detection of stator winding faults in induction machines using an external flux sensor. IEEE Trans. Ind. Appl., 2003, vol. 39, pp. 1511–1516.

10. Romary, R., Pusca, R., Lecointe, J.P., Brudny, J.F. Electrical machines fault diagosis by stray flux analysis. IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), Paris, 2013, pp. 247–256.

11. Tavner, P.J., Penman, J. Condition Monitoring of Electrical Machines. Research Studies Press, 1987. 286 p.

12. Strakhov, A.S., Novoselov, E.M., Morozov, A.N., Skorobogatov, A.A. Eksperimental'noe dokazatel'stvo sushchestvovaniya priznakov povrezhdeniya elektrodvigatelya s dlitel'nym puskom vo vneshnem magnitnom pole [Experimental evidence of the existence of rotor winding fault signs of the motor with a long start in the external magnetic field]. Materialy Mezhdunarodnoy (XX Vserossiyskoy) nauchno-tekhnicheskoy konferentsii «Sostoyanie i perspektivy razvitiya elektro- i teplotekhnologii» (Benardosovskie chteniya). T. 1 [Proceedings of the International (XX All-Russian) Scientific and Technical Conference «Current Situation and Outlook of Electrical and Heat Technologies» (Benardos Readings). Vol. 1]. Ivanovo, 2019, pp. 94–97.

13. Sivokobylenko, V.F., Kuz'menko, D.I., Yaremenko, S.P. Naukovі pratsі Donets'kogo natsіonal'nogo tekhnіchnogo unіversitetu, 2011, № 10(180), pp. 148–152.

14. Pu, Shi,  Chen, Z., Vagapov, Y. Wavelet Transform based Broken Rotor-bar Fault detection and Diagnosis Performance Evaluations. International Journal of Computer Applications (0975 – 8887), 2013, vol. 69, no. 14, pp. 36–43. Available at: http://research.ijcaonline.org/volume69/number14/pxc3888033.pdf

15. Kuptsov, B.V., Gorzunov, A.S., Sarvarov, A.S. Vestnik YuUrGU, 2009, no. 34, pp. 60–67.

16. Pineda-Sanchez, M. Instantaneous Frequency of the Left Sideband Harmonic During the Start-Up Transient: A New Method for Diagnosis of Broken Bars. IEEE Transactions on Industrial Electronics, 2009, vol. 56, no. 11, pp. 4557–4570.

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

 

 

Key words in Russian: 
асинхронный двигатель собственных нужд электростанций, короткозамкнутая обмотка ротора, длительный пуск, внешнее магнитное поле, частотно-временной спектр, гармоники фиктивной обмотки ротора
Key words in English: 
induction motor of power plant auxiliaries, short-circuited rotor winding, long start-up, external magnetic field, time-frequency spectrum, harmonics of fictitious rotor winding
The DOI index: 
10.17588/2072-2672.2019.4.031-044
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