Stator current fault diagnosis of induction motor bearings based on the fast Fourier transform / Safin N.R., Prakht V.A., Dmitrievskii V.A., Dmitrievskii A.A. // Russian Electrical Engineering. - 2016. - V. 87, l. 12. - P. 661-665.

ISSN:

10683712

Type:

Article

Abstract:

Monitoring of the technical state of induction motor bearings is one of the important indicators of reliable and efficient operation of industrial electrical drives. This article considers the problems of fault diagnosis of induction motor bearings with a squirrel-cage rotor by stator consumption current. Test results on an experimental test bench with an electromagnetic powder brake are presented and analyzed. Experiments were carried out during tests of the induction motor at the rated mode with an operable bearing and alternately with two faulty bearings with defects at the inner and outer parts of cages. The characteristic harmonic components of stator currents appearing during operation of the induction motor with faulty bearings are presented. It is revealed that an anticipatory diagnosis of induction motors by stator current makes it possible to reveal the air-gap eccentricity due to the operation of an electric motor with a damaged bearing. Control of the technical state of bearings is important both during at the stage of manufacturing machines, in particularly for powerful and crucial mechanisms, and during their use. The basic features of monitoring the bearings are revealed, and recommendations for diagnosis by stator currents are presented. © 2016, Allerton Press, Inc.

Author keywords:

bearing; characteristic frequencies; diagnosis of bearing faults; Fast Fourier transform; induction motor; spectral analysis

Index keywords:

Bearings (structural); Electric fault currents; Electric motors; Failure analysis; Fast Fourier transforms; Fault detection; Magnetic devices; Spectrum analysis; Squirrel cage motors; Stators; Air-gap

DOI:

10.3103/S1068371216120063

Смотреть в Scopus:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012117507&doi=10.3103%2fS1068371216120063&partnerID=40&md5=f4aa5174051770f8076b182ffb4c460e

Соавторы в МНС:

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Поле	Значение
Link	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012117507&doi=10.3103%2fS1068371216120063&partnerID=40&md5=f4aa5174051770f8076b182ffb4c460e
Affiliations	Yeltsin Ural Federal University, Yekaterinburg, Russian Federation
Author Keywords	bearing; characteristic frequencies; diagnosis of bearing faults; Fast Fourier transform; induction motor; spectral analysis
References	Konakov, P.A., Kuzhekova, S.L., The way to determine eccentricity type of induction motor’s rotor (2013) Elektroenergetika glazami molodezhi. Nauchnye trudy IV mezhdunar. nauchno-tekhnich. konf. (Proc. 4th Int. Sci.-Techn. Conf. Electrical Engineering from the Youth Point of View), Novocherkassk, Oct. 14–18; Safin, N.R., Prakht, V.A., Dmitrievskii, V.A., Dmitrievskii, A.A., and Kazakbaev, V.M., The way to diagnose defects of induction motor on the base of spectral analysis of stator currents, Energobezopasn. Energosberezhen., 2014, no. 3(57); Sentyurikhin, N.I., Charakhch’yan, A.V., Failures (2010) monitoring, and diagnostics of parameters of superhigh-power induction motors, Russ. Electr. Eng., 81 (1), p. 45; Barkov, A.V. and Borisov, A.A., Modern diagnostic possibilities for machines with electric drive according to motor’s current, Metallurg. Protsessy Oborud., 2013, no. 1(31); Zarei, J., Poshtan, J., An advanced Park’s vectors approach for bearing fault detection (2009) Tribol. Int., 42 (2), pp. 213-219; Obaid, R.R., Habetler, T.G., Stack, J.R., Stator current analysis for bearing damage detection in induction motors (2003) Proc. IEEE Symp. on Diagnostics for Electric Machines, Power Electronics and Drives, Atlanta; Barkov, A.V., Barkova, N.A., Borisov, A.A., Fedorishchev, V.V., Grishchenko, D.V., (2012) Metodika diagnostirovaniya mekhanizmov s elektroprivodom po potreblyaemomu toku, , NOU “Severo-Zapadnyi uchebnyi tsentr”, OOO “Vibrotekhnika,”, St. Petersburg; Petukhov, V.S. and Sokolov, V.A., Diagnostics of electric drives state. Method of consumption current spectral analysis, Novosti Elektrotekhn., 2005, no. 1(31); Zhou, W., Habetler, T.G., Harley, R.G., Stator current-based bearing fault detection techniques: a general review (2007) Proc. IEEE Int. Symp. on Diagnostics for Electric Machines, Power Electronics and Drives, Cracow; Dalci, K.B. and Senol, I., Detection of outer raceway bearing defects in small induction motors using stator current analysis, Acad. Proc. Eng. Sci., 2005, vol. 30, no. 6
Correspondence Address	Safin, N.R.; Yeltsin Ural Federal UniversityRussian Federation; email: journal-elektrotechnika@mail.ru
Publisher	Allerton Press Incorporation
CODEN	RELEE
Language of Original Document	English
Abbreviated Source Title	Russ Electr Eng
Source	Scopus