Preview

Assessment of Electrical Machines’ State Based on Mathematical Modeling of Defect Formation in Windings

https://doi.org/10.21122/2220-9506-2022-13-4-302-313

Abstract

The highest quality and timely diagnostics of windings’ state of various types of electrical machines including of asynchronous motors’ windings is an impoitant task. Among the existing diagnostic methods currently the most promising are those ones based on methods for analyzing resonance processes occurring in electrical machines. The aim of the article was to assess the possibility of use resonant processes occurring in electrical machines for qualitative diagnostics of their windings state using the asynchronous motors example, to build mathematical models that allow describing defect formation in windings and to analyze the deviation of mathematical models relative to the results obtained.

Analysis of the influence of the level of interturn resistances, the number of closed turns and the location of closed turns in sections on the phase-frequency characteristics of asynchronous motors windings of various classes has been carried out. Mathematical models of the phase-frequency characteristics are obtained, coefficients of polynomials are determined and the relative discrepancy between these mathematical dependences relative to the experimental data is estimated depending on the considered parameters characterizing defects in the coils’ windings of electrical machines.

Obtained mathematical models and coefficients for them can serve as the basis for construction of automated control and diagnostic systems for checking of the windings state of electrical machines including assessing the residual life of their work.

About the Authors

A. V. Isaev
Belarusian National Technical University
Belarus

Address for correspondence:
Isaev A.V –.
Belarusian National Technical University,
Nezavisimosty Ave., 65, Minsk 220013, Belarus
 e-mail: isaev0302@gmail.com



U. V. Suchodolov
Belarusian National Technical University
Belarus

Nezavisimosty Ave., 65, Minsk 220013



D. V. Balakhonov
Belarusian National Technical University
Belarus

Nezavisimosty Ave., 65, Minsk 220013



References

1. Gemke R.G. Neispravnosti elektricheskikh mashin. 8-ye izd., ispr. i dop. [Malfunctions of electrical machines. 8th ed., rev. and additional]. L.: Energy Publ., 1995, 296 p.

2. Cherny A.P., Rodkin D.I., Kalinov A.P., Vorobeichik O.S. Monitoring parametrov elektricheskikh dvigateley elektromekhanicheskikh sistem: Monografiya [Monitoring of parameters of electric motors of electromechanical systems: Monograph]. Kremenchug: ChP Shcherbatykh A.V. Publ., 2008, 246 p.

3. Valeria Hrabovcova, Pavol Makyš, Pavol Rafajdus. Analysis of Electrical Machines, IntechOpen is the global imprint of Intechopen Limited, London, United Kingdom, 2020, 202 p.

4. Ponomarev V.A., Suvorov I.F., Yudin A.S., Portnyagin A.V., Sposob funktsional'noy diagnostiki asinkhronnykh elektrodvigateley [A method of functional diagnosis of asynchronous electric motors]. Patent RF, no. 2351048C1, 2009.

5. Vakhtina Ye.A., Gabriyelyan SH.ZH., Vostrukhin A.V. Mikrokontrollernoye ustroystvo diagnostiki mezhvitkovoy izolyatsii obmotki elektrodvigatelya [Microcontroller diagnostic device for interitic isolation of the electric motor winding]. Patent RF, no. 2546827C1, 2015.

6. Vostrukhin A.V., Danilov K.P., Vakhtina Ye.A., Dorozhko S.V. Mikrokontrollernoye ustroystvo dlya diagnostiki izolyatsii obmotki asinkhronnogo dvigatelya [Microcontroller for diagnosing the isolation of the asynchronous engine winding]. Patent RF, no. 2428707C1, 2011.

7. Zhukovskiy YU.L., Taranov S.I. Sposob diagnostiki i otsenki ostatochnogo resursa elektroprivodov peremennogo toka [Way of diagnosing and evaluating the residual resource of alternating current electric drives]. Patent RF, no. 2526500С1, 2014.

8. Suvorov I.F., Gorbunov R.V., Palkin G.A., Koryakov D.V. Sposob diagnostirovaniya izolyatsii obmotok statora asinkhronnogo elektrodvigatelya [Method of diagnosing insulation of windings of the stator of asynchronous electric motor]. Patent RF, no. 2537744С1, 2014.

9. Gutov I.A. Matematicheskiye modeli dlya prognozirovaniya tekhnicheskogo sostoyaniya izolyatsii elektrooborudovaniya [Mathematical models for predicting the technical condition of electrical equipment insulation]. Polzunovsky vestnik [Volga bulletin], 2009, no. 4, pp. 68– 75 (in Russian).

10. Metelkov V.P., Zyuzev A.M., Chernykh I.V. Sistema otsenki ostatochnogo resursa izolyatsii obmotki asinkhronnogo dvigatelya na osnove emkostnykh tokov utechki [The system for estimating the residual life of the insulation of the winding of an asynchronous motor based on capacitive leakage currents]. Monitoring, kontrol' i diagnostika elektrooborudovaniya, Ural'skiy federal'nyy universitet imeni pervogo Prezidenta Rossii B.N. Yel'tsina [Monitoring, control and diagnostics of electrical equipment, Ural Federal University named after the first President of Russia B.N. Yeltsin], 2011, no. 2, pp. 34–47 (in Russian).

11. Sil'vashko S.A., Bulatov V.N., Shevelenko V.D. Sposob kompleksnogo kontrolya trekhfaznoy obmotki elektricheskoy mashiny [A way of comprehensive control of a three-phase winding of an electric machine]. Patent RF, no. 2289143C2, 2006.

12. Bulatov V.N., Sil'vashko S.A. Sposob kontrolya trekhfaznoy obmotki elektricheskoy mashiny [A method of monitoring a three-phase winding of an electric machine]. Patent RF, no. 2339962C1, 2011.

13. Connel Brett Williams, Christopher David Dixon, Electric Motor Control. Patent US20090224707A1, 2009.

14. Sukhodolov YU.V., Belousov A.V., Kruchenok L.P. Sposob kompleksnogo kontrolya trekhfaznoy elektricheskoy mashiny [A method of comprehensive control of a three -phase electric machine]. Patent BY, no. 20042, 2012.

15. Sukhodolov YU.V., Sheynikov A.A., Malashin A.N., Vashkevich V.R. Sposob kontrolya vitkovoy izolyatsii obmotki yakorya elektricheskoy mashiny [A way of monitoring the winding insulation of the winding of the electric machine.]. Patent BY, no. 16628, 2012.

16. Sukhodolov Yu.V., Isaev A.V., Zelenko V.V., Sizikov S.V. Vozmozhnost' opredeleniya defektov v obmotkakh elektricheskikh mashin chastotnymi metodami [The possibility of determining defects in the windings of electrical machines by frequency methods]. Metrologiya i priborostroyeniye [Metrology and instrument making], 2022, no. 3, pp. 10–17 (in Russian).


Review

For citations:


Isaev A.V., Suchodolov U.V., Balakhonov D.V. Assessment of Electrical Machines’ State Based on Mathematical Modeling of Defect Formation in Windings. Devices and Methods of Measurements. 2022;13(4):302-313. (In Russ.) https://doi.org/10.21122/2220-9506-2022-13-4-302-313

Views: 356


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-9506 (Print)
ISSN 2414-0473 (Online)