STUDY OF TIME DEPENDENCE AND SPECTRAL COMPOSITION OF THE SIGNAL IN CIRCUIT OF AC ELECTRIC POINT MOTORS

S. Yu. Buryak, V. I. Havriliuk, O. O. Hololobova

Abstract


Purpose. The paper is aimed to establish the dependence of changes in the time domain and spectral components of the current in the circuit of the AC electric point motor on its technical condition, to identify the common features for the same type of damage. It is necessary using the analysis of the received signals to carry out the remote diagnosis and determination of faults and defects of electric point motors. In addition it suggested to accelerate the process of the failure, malfunction and damage search. Authors propose the automated approach to the service of remote floor automation equipment, which is located in the envelope of trains. Reduction of the threat to life and health of staff by reducing the residence time in the zone of train movement. Reduce the impact of human factors n the result of service. Methodology. The paper studies the structure, parameters and characteristics, the operation and maintenance characteristics of the AC electric point motors. Determination of the main types of possible faults in the process depending on the operating conditions. Presentation of the electric motor as an object of diagnosis. Findings. The time dependences of the current in the circuit of electric point motor for its various states was obtained. The connection between the technical condition of electric point motor and the performance of current curve in time and spectral domains was established. The revealed deviations from the reference signal were justified. According to the obtained results it was made the conclusion. Originality. A method for diagnosing the state of the AC electric point motor by the time dependence and the spectral composition of the current in its circuit was proposed. The connection diagram to the motor windings based on non-infringement of electric parameters of connection circuit in the actual operating conditions was applied. Practical value. The obtained results suggest the possibility and feasibility of further development of the principles of remote diagnosis based on the analysis of temporal and spectral domains of the current curve in the circuit of the AC electric point motor. The implementation and practical application in operation as a separate system for the collection, analysis, processing and data communication is also real and rational. The given system makes possible tracking the changes in key parameters and forming the proposals on impact measures on the existing situation, as well as the ability to predict the state of the objects on the basis of the dependency determination of the previous changes.


Keywords


electric motor; switch; turnout; analysis; diagnosis; time-dependence; spectral composition

References


Osadchuk Yu.G., Semochkin A.B., Fedotov V.A., Shkurko D.A. Analiz vliyaniya velichiny ekstsentrisiteta rotora asinkhronnogo elektrodvigatelya na pikovoye znacheniye elektromagnitnogo momenta pri pryamom vklyuchenii v set [Analysis of the impact of the magnitude of the eccentricity of the rotor induction motor on the peak of electromagnetic torque for direct inclusion in the network]. Nauka, osvіta і praktika. Krivorozhskiy tekhnicheskiy universitet [Science, education and practice]. Kryvyi Rih, 2011, issue. 1 (1), pp. 264-265.

Buriak S.Yu. Matematychne modeliuvannia strilochnoho elektroprivodu [Mathematical modeling of electric switch mechanism]. Visnyk Dnipropetrovskoho natsionalnoho universytetu zaliznychnoho transportu imeni akademika V. Lazariana [Bulletin of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan], 2010, issue 34, pp. 172-175.

Buryak S.Yu. Mathematical modeling of AC electric point motor. Nauka ta prohres transportu. Visnyk Dnipropetrovskoho natsionalnoho universytetu zaliznychnoho transportu – Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 2014, no. 2 (50), pp. 7-20.

Hendyrektor «Ukrzaliznytsi»: Zaliznytsi vzhe nastupnoho roku vyidut na yevropeiskyi riven (Railways next year will reach the European level). Available at: http://www.uz.gov.ua/press_center/ukrainian_railways_in_mass_media/387064/ (Accessed 08 August 2014).

Novozhilov A.N., Kryukova Ye.V., Isupova N.A., Novozhilov T.A., Nikitin K.I. Diagnostirovaniye ekstsentri-siteta rotora asinkhronnogo dvigatelya po srednekvadratichnoy velichine dopolnitelnykh garmonicheskikh tokov statora (Diagnosing the eccentricity of the induction motor rotor on the rms value of the additional harmonic currents of the stator). SibAK. Nauchno-prakticheskiye konferentsii uchenykh i studentov s distantsionnym uchastiyem. Kollektivnye monografii - Seebach. Scientific and practical conference of scientists and students with remote participation. Collective monographs. Available at: http://sibac.info/10949 (Accessed 20 August 2014).

Buryak S.Yu., Gavrilyuk V.I., Gololobova O.A., Beznarytnyy A.M Issledovaniye diagnosticheskikh priznakov strelochnykh elektroprivodov peremennogo toka [Diagnostic features research of AC electric point motors]. Nauka ta prohres transportu. Visnyk Dnipropetrovskoho natsionalnoho universytetu zaliznychnoho transportu – Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 2014, no. 4 (52), pp. 7-22.

Mandych N.K. Remont elektrodvigateley [Repair of electric motors]. Kyiv, Tekhnika Publ., 1989. 152 p.

Titko A.I., Andriyenko V.M., Khudyakov A.V., Gutorova M.S Novyye metody diagnostiki asinkhronnykh dvigateley (New methods of induction motors diagnosis). Available at: http://irbis-nbuv.gov.ua/cgi-bin/irbis_nbuv/cgiirbis_64.exe?C21COM=2&I21DBN=UJRN&P21DBN=UJRN&IMAGE_FILE_DOWNLOAD=1&Image_file_name=PDF/PIED_2014_37_13.pdf (Accessed 24 August 2014).

Reznikov Yu.M. Elektroprivody zheleznodorozhnoy avtomatiki i telemekhaniki [Electric drives of railway automatics and remote control]. Moscow, Transport Publ., 1985. 288 p.

Enriko Anders, Tomas Berndt, Igor Dolgiy. Sistemy avtomatiki i telemekhaniki na zheleznikh dorogakh mira [Railway of Signalling & Interlocking. International Compendium]. Hamburg, Intekst Publ., 2010. 488 p.

Soroko V.I., Kaynov V.M., Kaziyev G.D. Avtomatika, telemekhanika, svyaz i vychislitelnaya tekhnika na zheleznikh dorogakh Rossii. Tom 1 [Automation, remote control, communications and computing equipment on Russian railways. Vol. 1]. Moscow, NPF “Planeta” Publ., 2006. 736 p.

Chaparro Luis F. Signals and Systems Using MATLAB. Pittsburgh, Academic Press is an imprint of Elsevier Publ., 2011. 752 p.

Corinthios Michael. Signals, Systems, Transforms, and Digital Signal Processing with MATLAB. Boca Raton, CRC Press Taylor & Francis Group Publ., 2009. 1316 p.

Thomson W.T., Fenger M, Culbert I., Stone G. Development of a tool to detect faults in induction motors via current signature analysis. Electric Motor Predictive Maintanence Conference. Available at: http://www.irispower.com/pdf/newtechpapers/Develop-ent%20of%20a%20tool%20to%20detect%20faults%20in%20induction%20motors%20via%20Current%20Signature%20Analysis.pdf (Accessed 24 August 2014).

Leis John William. Digital Signal Processing Using MATLAB for Students and Researchers. New Jersey, John Wiley & Sons Publ., 2011. 382 p.

MathWorks. Accelerating the pace of engineering and science. Documentation. Signal Processing Toolbox. Waveforms. Signal Generation. Available at: http://www.mathworks.com/help/signal/ref/ sptool.html (Accessed 24 August 2014).

Thomson W.T. A Review of On-Line Condition Monitoring Techniques for Three-Phase Squirrel-Cage Induction Motors. Past Present and Future. Keynote address at IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives. Gijon, 1999, pp 3-18.

Thomson W.T., Gilmore R.J. Motor current signature analysis to detect faults in induction motor drivers - fundamentals, Data interpretation, And industrial case histories. Proceeding of the thirty second turbomashinery symposium, 2003. Available at: http://turbolab.tamu.edu/proc/turboproc/T32/t32-16.pdf (Accessed 24 August 2014).


GOST Style Citations


1. Анализ влияния величины эксцентриситета ротора асинхронного электродвигателя на пиковое значение электромагнитного момента при прямом включении в сеть / Ю. Г. Осадчук, А. Б. Сёмочкин, В. А. Федотов, Д. А. Шкурко // Наука, освіта і практика / Криворожский технический университет. – Кривой Рог, 2011. – Вип. 1 (1). – С. 264–265.

2. Буряк, С. Ю. Математичне моделювання стрі-лочного електроприводу / С. Ю. Буряк // Вісн. Дніпропетр. нац. ун-ту залізн. трансп. ім. акад. В. Лазаряна. – Дніпропетровськ, 2010. – Вип. 34. – С 172–175.

3. Буряк, С. Ю. Mathematical modeling of AC electric point motor / С. Ю. Буряк // Наука та прогрес транспорту. Вісн. Дніпропетр. нац. ун-ту. залізн. трансп. – 2014. – №. 2 (50). – С. 7–20.

4. Гендиректор «Укрзалізниці»: Залізниці вже наступного року вийдуть на європейський рівень [Электронный ресурс]. – Режим доступа: http://www.uz.gov.ua/press_center/ukrainian_ railways_in_mass_media/387064/. – Загл. с экрана. – Проверено : 08.08.2014.

5. Диагностирование эксцентриситета ротора асин-хронного двигателя по среднеквадратичной величине дополнительных гармонических токов статора [Электронный ресурс] / А. Н. Новожилов, Е. В. Крюкова, Н. А. Исупова, Т. А. Новожилов, К. И. Никитин // СибАК. Науч.-практ. конф. уч. и студ. с дистанционным участием. Коллективные монографии. – Режим доступа: http://sibac.info/10949. – Загл. с экрана. – Проверено: 20.08.2014.

6. Мандыч, Н. К. Ремонт электродвигателей: Пособие электромонтеру / Н.К. Мандыч . – Киев : Техника, 1989. – 152 с.

7. Резников, Ю. М. Электроприводы железнодорожной автоматики и телемеханики / Ю. М. Рез-ников. – Москва : Транспорт, 1985. – 288 с.

8. Системы автоматики и телемеханики на железных дорогах мира / [Энрико Андерс, Томас Берндт, Игорь Долгий и др.] ; под ред. Грегора Теега, Сергея Власенко. – Москва : Интекст, 2010. – 488 с.

9. Сороко, В. И. Автоматика, телемеханика, связь и вычислительная техника на железных дорогах России: Энциклопедия : в 2 т. Т. 1 / В. И. Со-роко, В. М. Кайнов, Г. Д. Казиев. – Москва : НПФ «Планета», 2006. – 736 с.

10 .Chaparro, Luis F. Signals and Systems Using MATLAB. / Luis F Chaparro. – Pittsburgh : Academic Press is an imprint of Elsevier, 2011. – 752 p.

11. Corinthios, M. Signals, Systems, Transforms, and Digital Signal Processing with MATLAB / Michael Corinthios. – Boca Raton : CRC Press Taylor & Francis Group, 2009. – 1316 p.

12. Leis, J. W. Digital Signal Processing Using MATLAB for Students and Researchers / John William Leis. – New Jersey : John Wiley & Sons, 2011. – 382 p.

13. MathWorks. Accelerating the pace of engineering and science. Documentation. Signal Processing Toolbox. Waveforms. Signal Generation [Электронный ресурс]. – Режим доступа : http://www.mathworks.com/help/signal/ref/ sptool.html. – Загл. с экрана. – Проверено : 24.08.2014.

14. Thomson, W. T. Motor current signature analysis to detect faults in induction motor drivers - fundamentals? Data interpretation? And industrial case histories [Электронный ресурс] / W. T. Thomson, R. J. Gilmore // Proceedings of the thirty second turbomashinery symposium. – 2003. – Режим доступа: http://turbolab.tamu.edu/proc/ turboproc/T32/t32-16.pdf. – Загл. с экрана. – Проверено : 24.08.2014.



DOI: https://doi.org/10.15802/stp2014/33035

 

Cited-by:

1. IMPLEMENTATION OF TURNOUTS TECHNICAL DIAGNOSTICS SYSTEMS
S. YU. Buryak, V. I. Havrilyuk, O. O. Hololobova
Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport  Issue: 3(57)  First page: 7  Year: 2015  
doi: 10.15802/stp2015/46035



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

 

ISSN 2307–3489 (Print)
ІSSN 2307–6666 (Online)