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J. Sib. Fed. Univ. Math. Phys., 2015, Volume 8, Issue 2, Pages 201–207 (Mi jsfu422)  

This article is cited in 10 scientific papers (total in 10 papers)

Adaptive identification method of a signal from stray magnetic field sensor for turbogenerator diagnostics

Vladimir I. Polishchuk, Viktor L. Sergeev

National Research Tomsk Polytechnic University, Lenin Av., 30, Tomsk, 634050, Russia

Abstract: The topic of this paper is dictated by the necessity to improve the reliability of methods for determining a short circuit of rotor winding with the use of the stray magnetic field sensor installed at the turbogenerator end.
The research objectives are to develop the signal identification models and algorithms based on stray magnetic field sensor data for the diagnostics of a short circuit of rotor winding of synchronous generator.
Theoretical and practical developments in the areas of systems analysis, electrical machines modeling, optimization and linear algebra are used in the paper. The solution is based on theoretical and experimental data from magnetic field sensor installed at the synchronous generator end.
A method of a signal identification and diagnostics from stray magnetic field sensor installed at the synchronous generator end is developed. This method is based on an integrated system of signal models with time-varying parameters and additional a priori information. The method allows for determining the signal local changes from the stray magnetic field sensor caused by the short circuit of rotor winding of the synchronous generator by comparing the original signal with model signal. Experimental data for loaded synchronous generator are considered. It is found that the proposed method provides reliable predictions of the rotor winding damage even for a small number of short circuited coils.

Keywords: identification, adaptation, diagnostics, integrated system of models with variable parameters, a priori information, turbogenerator, short circuit, magnetic field sensor.

Full text: PDF file (173 kB)
References: PDF file   HTML file
UDC: 519.688
Received: 10.12.2014
Received in revised form: 21.01.2015
Accepted: 20.02.2015
Language:

Citation: Vladimir I. Polishchuk, Viktor L. Sergeev, “Adaptive identification method of a signal from stray magnetic field sensor for turbogenerator diagnostics”, J. Sib. Fed. Univ. Math. Phys., 8:2 (2015), 201–207

Citation in format AMSBIB
\Bibitem{PolSer15}
\by Vladimir~I.~Polishchuk, Viktor~L.~Sergeev
\paper Adaptive identification method of a signal from stray magnetic field sensor for turbogenerator diagnostics
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2015
\vol 8
\issue 2
\pages 201--207
\mathnet{http://mi.mathnet.ru/jsfu422}


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    Citing articles on Google Scholar: Russian citations, English citations
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    1. V. L. Sergeev, Dong Van Hoang, “Adaptive identification and interpretation of pressure transient tests of horizontal wells: challenges and perspectives”, XX International Scientific Symposium of Students, Postgraduates and Young Scientists on Problems of Geology and Subsurface Development, IOP Conf. Ser. Earth Envir. Sci., IOP Conference Series-Earth and Environmental Science, 43, IOP Publishing Ltd, 2016, 012016  crossref  isi  scopus
    2. V. L. Sergeev, Nguyen Thac Hoai Phuong, A. B. Strelnikova, “Adaptive interpretation of gas well deliverability tests”, XX International Scientific Symposium of Students, Postgraduates and Young Scientists on Problems of Geology and Subsurface Development, IOP Conf. Ser. Earth Envir. Sci., IOP Conference Series-Earth and Environmental Science, 43, IOP Publishing Ltd, 2016, 012015  crossref  isi  scopus
    3. S. V. Borisov, P. V. Bykovskih, N. V. Gusev, K. V. Obraztsov, “Start synchronous motor vector control algorithm with encoder without Hall-sensors”, 2016 International Siberian Conference on Control and Communications (Sibcon), IEEE International Siberian Conference on Control and Communications, ed. O. Stukach, IEEE, 2016  isi
    4. V. L. Sergeev, V. T. Kalayda, V. I. Polishchuk, “Models and algorithms of non-stationary signal identification in conditions of uncertainty”, 2016 International Siberian Conference on Control and Communications (Sibcon), IEEE International Siberian Conference on Control and Communications, ed. O. Stukach, IEEE, 2016  isi
    5. I. G. Slepnev, I. A. Chernyshev, A. Yu. Chernyshyov, “Energy saving in electric drive of boiler blow fan”, 2017 International Siberian Conference on Control and Communications (SIBCON) Proceedings, IEEE, 2017  isi
    6. V. L. Sergeev, Dong Van Hoang, “Adaptive interpretation of pressure transient tests of horizontal wells with pseudoradial flow identification”, Bull. Tomsk Polytech. Univ.-Geo Assets Eng., 328:10 (2017), 67–73  isi
    7. E. V. Bolovin, A. S. Glazyrin, “Method for identifying parameters of submersible induction motors of electrical submersible pump units for oil production”, Bull. Tomsk Polytech. Univ.-Geo Assets Eng., 328:1 (2017), 123–131  isi
    8. V. L. Sergeev, N. T. H. Phuong, A. I. Krainov, “Adaptive interpretation of gas well deliverability tests with generating data of the IPR curve”, International Conference on Information Technologies in Business and Industry 2016, Journal of Physics Conference Series, 803, eds. N. Martyushev, V. Avramchuk, V. Faerman, IOP Publishing Ltd, 2017, UNSP 012136  crossref  isi  scopus
    9. V. Yu. Dementyev, N. V. Gusev, N. V. Koyain, S. Yu. Shiryaev, “Former of turn trajectory of sliding valve shaft of gas line”, Fourth International Youth Forum Smart Grids 2016, MATEC Web Conf., 91, eds. P. Strizhak, G. Kuznetsov, A. Zhdanova, EDP Sciences, 2017, UNSP 01038  crossref  isi  scopus
    10. V. I. Polishchuk, N. V. Gerasimov, M. V. Kritsky, A. S. Glazyrin, “Analysis of the influence of electrical damage in field magnetizing coil on synchronous round-rotor motor vibration”, Bull. Tomsk Polytech. Univ.-Geo Assets Eng., 329:1 (2018), 140–149  mathscinet  isi
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