Open Access
Issue
E3S Web Conf.
Volume 174, 2020
Vth International Innovative Mining Symposium
Article Number 03024
Number of page(s) 11
Section Innovations in Mining Machinery
DOI https://doi.org/10.1051/e3sconf/202017403024
Published online 18 June 2020
  1. I.V. Breido, I. Yu. Semykina, G.S. Nurmaganbetova, Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering, 329(2), 65-73 (2018) [Google Scholar]
  2. F. Alonge, F. D’Ippolo, La.S. Barbera, F.M. Raimondi, Procedings of the 1998 IEEE Interniteanal Conference on Control Applications Trieste, 1, 491-496 (1998) [Google Scholar]
  3. S. Jangjit, P. Laohachai, Journal of Electrical Engineering & Technology, 4(3), 360-364 (2009) [CrossRef] [Google Scholar]
  4. K. Kampisios, P. Zanchetta, C. Gerada, A. Trentin, Proceedings of the Industrial Applications Society Annual Meeting, 1, 78 (2008) [Google Scholar]
  5. S. Aksoy, A. Muhurcu, H. Kizmaz, Proceedings of Modern Electric Power Systems, 1, 5 (2010) [Google Scholar]
  6. P. Simonik, P. Hudecek, P. Palacky, D. Slivka, Progress in Electromagnetics Research Symposium Proceedings, 1, 165 (2012) [Google Scholar]
  7. R. Giri, A. Chowdhury, A. Ghosh, B.K. Panigrahi, Proceedings of SEMCCO, 1, 523-530 (2010) [Google Scholar]
  8. N.A. Korolev, S.V. Solovev, IOP Conference Series: Materials Science and Engineering, 177(1), (2017) [Google Scholar]
  9. H.A. Toliyat, E. Levi, Munpreet Kaur Raina, IEEE Power Engineering Review, 22, 52-52 (2002) [CrossRef] [Google Scholar]
  10. Li Shanshan, Journal of Physics: Conference Series, 1302, 022054 (2019) [CrossRef] [Google Scholar]
  11. D.K. Chaturvedi, M.P. Singh, Journal of the Institution of Engineers (India): Series B, 100, 343-347 (2019) [CrossRef] [Google Scholar]
  12. P. Eikhoff, Fundamentals of control systems identification. Estimation of parameters and states (Mir, Moscow, 1975) [Google Scholar]
  13. J. Medich, Statistical Optimal Linear Estimators and Control (Energiya, Moscow, Russia, 1973) [Google Scholar]
  14. C.B. Speedy, R.F. Brown, G.C. Goodwin, Control Theory: Identification and optimal control (Mir, Moscow, 1973) [Google Scholar]
  15. A.A. Krassovskiy, Guidebook on the automated control theory (Nauka, Moscow, Russia, 1987) [Google Scholar]
  16. R. Lee, Optimal estimators, determining characteristics and control (Nauka, Moscow, Russia, 1996) [Google Scholar]
  17. G. Kron, Tensor analysis of networks (J. Wiley & Sons Chapman & Hall: London, UK, 1939). [Google Scholar]
  18. Р.K. Kovacs, E. Racz, Transient Phenomena in Electrical Machines (Elsevier Science Publishers, Amsterdam, the Netherlands, 1984) [Google Scholar]
  19. D.C.S. White, H.H. Woodson, Electromechanical Energy Conversion (John Wiley & Sons, New York, USA, 1959) [Google Scholar]
  20. N. Hancock, Matrix analysis of electrical machinery (Energiya, Moscow, 1967) [Google Scholar]
  21. R.V. Filtz, Mathematical bases of electromechanical converters theory (Naukova Dumka, Kiyev, 1979) [Google Scholar]
  22. V.I. Klyuchev, Electric Drive Theory (Energoatomizdat, Moscow, 2001) [Google Scholar]
  23. I.P. Kopylov, Mathematical modelling of electric machines (Vysshaya Shkola, Moscow, 2001) [Google Scholar]
  24. G.S. Sipaylov, A.V. Loos, Mathematical modelling of electric machines (Vysshaya Shkola, Moscow, 1980) [Google Scholar]
  25. B. Ya. Stariko, I.L. Azarkh, Z.M. Rabinovich, Induction motor for shearers (Nedra, Moscow, 1981) [Google Scholar]
  26. V.G. Kashirskikh, A.V. Nesterovskiy, A.N. Gargayev, A method for determining the stator resistance of the induction motor, Russian pat. No. 2406096, 34 (2010) [Google Scholar]
  27. V.G. Kashirskikh, A.V. Nesterovskiy, A.N. Gargayev, A method for determining the induction motor stator flux linkage, Russian pat. No 2439599, 1 (2012) [Google Scholar]
  28. V.G. Kashirskikh, V.M. Zavyalov, D.V. Sokolov, Bulletin of the Kuzbass State Technical University, 2, 14-16 (2002) [Google Scholar]
  29. V.G. Kashirskikh, V.M. Zavyalov, A.V. Nesterovskiy, Bulletin of the Kuzbass State Technical University, 2, 12-14 (2003) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.