Open Access
MATEC Web Conf.
Volume 251, 2018
VI International Scientific Conference “Integration, Partnership and Innovation in Construction Science and Education” (IPICSE-2018)
Article Number 03060
Number of page(s) 8
Section Engineering and Smart Systems in Construction
Published online 14 December 2018
  1. H. Giese, B. Rumpe, B. Schätz, and J. Sztipanovits, “Science and Engineering of Cyber-Physical Systems (Dagstuhl Seminar 11441)”, Dagstuhl Reports: 1(11) 1–22, 2012. [Google Scholar]
  2. Horvath and aB. Gerritsen, Cyber-physical systems: Concepts, technologies and imple-mentation principles in Tools and Methods of Competitive Engineering Symposium (TMCE) 19–36, 2012 [Google Scholar]
  3. T.W. Körner. Fourier Analysis. Cambridge University Press, 1988. [CrossRef] [Google Scholar]
  4. I. Daubechies. The wavelet transform timefrequency localization and signal analysis. IEEE Trans. Inform. Theory, 961–1004, 1992. [Google Scholar]
  5. T.N. Kruglova. Intelligent Diagnosis of the Electrical Equipment Technical Condition Procedia Engineering: 129, 219–224, 2015 [CrossRef] [Google Scholar]
  6. W. T. Thomson and M. Fenger Current signature analysis to detect induction motor faults IEEE Industry Applications Magazine: 7, 26–34, 2001. [Google Scholar]
  7. B. Liu, S.F. Ling. On the selection of informative wavelets for machinery diagnosis. Mechanical Subhasis Nandi, Hamid A. Toliyat, and Xiaodong Li. Condition Monitoring and Fault Diagnosis of Electrical Motors – A Review, IEEE Conference Transactions on energy conversion, Vancouver, Canada. Journals & Magazines 20 (4), 719–729. 2005 [Google Scholar]
  8. Yoon-Seok Lee, Kyung-Tae Kim, Jin Hur. FiniteElement Analysis of the Demagnetization of IPMType BLDC Motor With Stator Turn Fault IEEE transactions on magnetics, 50 (2), 70220047022004, 2015 [Google Scholar]
  9. M. Shakouhi, M. Mohamadian, E. Afjei Fault Tolerant Control of Brushless DC Motors Under Static Rotor Eccentricity IEEE transactions on industrial electronics, 62 (3), 1400 1409. 2015 [CrossRef] [Google Scholar]
  10. Kruglova T.N. Wavelet analysis for fault diagnosis of electrical machines using current signals . 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 1–5, 2016 [Google Scholar]
  11. Tatiana Kruglova, Danil Shaykhutdinov, Dmitriy Shurygin, Sergey Yanvarev, Roman Leukhin, Dmitriy Litvin, Stas Tarkovalin and Aleksey Zinin Intelligent Sensorless Fault Diagnosis of Mechatronics Module Wavelet Transformation Asian Journal of Infor-mation Technology. 15(22). 4694–4697. 2016 [Google Scholar]
  12. Tatyana Kruglovа, Alexey Bulgakov, Alexander Vlasov, and Ivan Shmelev Artificial Intelligence Method for Electric Drives Mode Operating and Technical Condition De-termination MATEC Web Conf. XIII International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2017) 132, 04017, 2017. [Google Scholar]
  13. Kruglova T.N., Glebov N.A., Shoshiashvili M.E. Smart sensоrless prediction diagnosis of electric drives IOP Conference Series: Earth and Environmental Science 87, 2017. [Google Scholar]

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