REMOTE DIAGNOSTICS OF TURNOUTS STATE ON TIMING AND SPECTRAL COMPOSITION IN CURRENT CURVE

S. Yu. Buryak, V. I. Gavrilyuk, O. O. Hololobova, M. O. Kovryhin

Abstract


Purpose. Development and implementation the points system diagnostics that would allow determining remotely the current state of turnout with all possible faults, gradual and sudden failures, damages, and in real time to report about their appearance. Methodology. State diagnostics on the values analysis of turnout main parameters is proposed to carry out with the help of a computer and analog-to-digital converter (ADC). Connecting measurements performance is advisable to produce to a shunt ammeter, installed in the working circuit of the point feed panel. ADC converts the analog signal of lost volts at the shunt into digital form and transmits it to a computer which stores the received data on its own recording medium for their further processing and storage. There is special software that is capable to reconnect signal and construct its temporal characteristic as well as decompose it on the spectral components. Using it one can analyze the obtained data, which allows diagnosing state of points upon change the nature, values and composition of the current curve. Findings. The computer diagnosis method was confirmed in practice for possible indications of problems that are associated with both the mechanical part of the turnout and the electrical part of it, while controlling parameters such as the amount of current normal transition, when working on frictions, the duration of the transition, properly adjusted headset and attachment points, the state of the motor. Originality. The use of computer technology in the diagnosis of the state of turnouts during their operation to monitor the current values of technical indicators, analysis and storage for all types of electric switches with different types of engines both DC and AC occurs through digitization and recording signal from measuring shunt of point feeder panel. Practical value. The proposed method enables timely, still in the early stages of defect parts, damages or failures of nodes mechanisms to detect and eliminate them. In addition, it reduces the load on the electrical engineers during schedule maintenance. The introduction of a diagnostic analysis of the turnout using computer technology will allow defining the appearance of faults in the early stages of their formation and preventing development the difficult avoidable damages or necessity for their complete replacement.


Keywords


electric switch; turnout; DC; AC; signal analysis; diagnosis; time dependence; spectral composition; feeder panel

References


Buryak S.Yu., Gavrilyuk V.I., Gololobova O.A. Issledovaniye vremennoy zavisimosti i spektralnogo sostava signala v tsepi strelochnykh elektrodvigateley peremennogo toka [Study of time dependence and spectral composition of the signal in circuit 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. 6 (54), pp. 7-22.

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.

Kogan D.A., Etkin Z.A. Aparatura elektropitaniya zheleznodorozhnoy avtomatiki [Powerequipmentofrailwayautomation]. Moscow, Transport Publ., 1987. 256 p.

Kogan D.A., Moldavskiy M.M. Aparatura elektropitaniya zheleznodorozhnoy avtomatiki [Powerequipmentofrailwayautomation]. Moscow, IKTS Akademkniga Publ., 2003. 438 p.

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

Anders E., Berndt T., Dolgiy I. Sistemy avtomatiki i telemekhaniki na zheleznykh dorogakh mira [Systems of automation and telemechanics on the railways of the world]. Gamburg, Intekst Publ., 2010. 488 p.

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.

Chaparro L.F. Signals and Systems Using MATLAB. Dep. of Electrical and Computer Eng. Univ. of Pittsburgh. Amsterdam, Boston, Heidelberg, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Academic Press Publ., 2011. 752 p.

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

Leis J.W. Digital Signal Processing Using MATLAB for Students and Researchers. Univ. of Southern Queensland. New Jersey, John Wiley & Sons Publ., 2011. 382 p. doi: 10.1002/9781118033623.

Lui J., Wang X. Advanced Sliding Mode Control for Mechanical Systems. Design, Analysis and MATLAB Simulation. Beijing,Tsinghua University Press Publ., 2012. 366 p.

Swanson D.C. Signal Processing for Intelligent Sensor Systems with MATLAB. Boca Raton, CRC Press Taylor & Francis Group Publ., 2012. 664 p.

Tervo R.J. Practical Signals Theory with MATLAB Applications. Hoboken, New Jersey, Wiley Publ., 2014. 486 p.


GOST Style Citations


  1. Буряк, С. Ю. Исследование временной зависимости и спектрального состава сигнала в цепи стрелочных электродвигателей переменного тока / С. Ю. Буряк, В. И. Гаврилюк, О. А. Гололобова // Наука та прогрес трансп. Вісн. Дніпропетр. нац. ун–ту залізн. трансп. – 2014. – № 6 (54). – С. 7–22.
  2. Исследование диагностических признаков стрелочных электроприводов переменного тока / С. Ю. Буряк, В. И. Гаврилюк, О. А. Гололобова, А. М. Безнарытный // Наука та прогрес трансп. Вісн. Дніпропетр. нац. ун–ту залізн. трансп. – 2014. – № 4 (52). – С. 7–22.
  3. Коган, Д. А. Аппаратура электропитания железнодорожной автоматики / Д. А. Коган,
    З. А. Эткин. – 2-е изд., перерераб. и доп. – Москва : Транспорт, 1987. – 256 с.
  4. Коган, Д. А. Аппаратура электропитания железнодорожной автоматики / Д. А Коган,
    М. М. Молдавский. – Москва : Академкнига, 2003. – 438 с.
  5. Резников, Ю. М. Электроприводы железнодорожной автоматики и телемеханики /
    Ю. М. Резников. – Москва : Транспорт, 1985. – 288 с.
  6. Системы автоматики и телемеханики на железных дорогах мира / Э. Андерс, Т. Берндт,
    И. Долгий [и др.] ; под ред. Г. Теега, С. Власенко. – Гамбург : Интекст, 2010. – 488 с.
  7. Buryak, S. Yu. Mathematical modeling of AC electric point motor / S. YU. Buryak // Science and Transport Progress. Bulletin ofDnipropetrovskNationalUniversityof Railway Transport. – 2014. – № 2 (50). – P. 7–20.
  8. Chaparro, L. F. Signals and Systems Using MATLAB / L. F. Chaparro // Dep. of Electrical and Computer Eng. Univ. ofPittsburgh. – Amsterdam, Boston, Heidelberg, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo : Academic Press, 2011. – 752 p.
  9. Corinthios, M. Signals, Systems, Transforms, and Digital Signal Processing with MATLAB. /
    M. Corinthios. –Boca Raton,London,New York : CRC Press Taylor & Francis Group, 2009. – 1316 p.
  10. Leis, J. W. Digital Signal Processing Using MATLAB for Students and Researchers / J. W. Leis //Univ.ofSouthern Queensland. –New Jersey: John Wiley & Sons, 2011. – 382 p. doi : 10.1002/9781118033623.
  11. Lui, J. Advanced Sliding Mode Control for Mechanical Systems. Design, Analysis and MATLAB Simulation / J. Lui, X. Wang –Beijing:TsinghuaUniversityPress, 2012. – 366 p.
  12. Swanson, D. C. Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition / D. C. Swanson. –Boca Raton: CRC Press Taylor & Francis Group, 2012. – 664 p.
  13. Tervo, R. J. Practical Signals Theory with MATLAB Applications / R. J. Tervo. –Hoboken,New Jersey: Wiley, 2014. – 486 p.

 



DOI: https://doi.org/10.15802/stp2015/42159

 

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)