Yury Aslamov

Senior Researcher, PhD
Yury Aslamov

Yury graduated from the Belarusian State University of Informatics and Radioelectronics (BSUIR) in 2015 with a degree in “Radio-Electronic Systems” of the Radio Engineering and Electronics Department and also holds a Master’s degree in technical sciences. In 2020 he received a Ph.D. in technical sciences.

Yury is an expert in the field of digital signal processing. His area of expertise is the development of methods for condition monitoring of industrial equipment based on vibration signal analysis. He heads the department of digital signal processing of VibroBox team. He is engaged in the development of adaptive filtering algorithms, wavelet, and spectral analysis, construction of classifiers based on fuzzy logic and decision-making devices based on trend analysis. Mr. Aslamov also researches the domain of informative features of the defective equipment. He has experience in applying machine learning to vibration diagnostics. He is involved in verifying the telemetry collection system developed by the VibroBox team.

The theme of Master’s thesis: Picking-up and processing of visual information from CMOS array to solve detection problem.

Ph.D. thesis: Condition monitoring of rotary equipment based on the vibration waveform analysis.

Scientific Papers and Publications

  1. A history of the emergence of systems with extension of signal spectrum: scientific article / A.P. Aslamov, Y.P. Aslamov, V.A. Cherdyncev // 8th scientific conference of post-graduate students, undergraduates and students, materials of section “Radio Engineering Systems” — Minsk: BSUIR, 2012.
  2. Development of the laboratory model “URF Research”: scientific article / I.G. Davydov, A.P. Aslamov, Y.P. Aslamov // Materials of the 50th scientific conference of postgraduate students, undergraduates and students of BSUIR, section “Radio Engineering Systems” — Minsk: BSUIR, 2014.
  3. Clustering for a given number of groups. Algorithm of ISODATA class / I.G. Davydov, A.P. Aslamov, Y.P. Aslamov // Materials of the 11th International Scientific and Technical Conference “Modern issues of Radio Engineering and Telecommunications RT-2015” November 16-20, 2015 / Sevastopol, 2015. — p. 146.
  4. Gathering and processing of video information from the CMOS-matrix to solve detection problems: the author's abstract. Diss. MSc in Engineering : 1-39 80 02 / Y.P. Aslamov; Scientific adviser I.G. Davydov. - Minsk: BSUIR, 2016.
  5. Sparse wavelet decomposition for solving problems of vibration diagnostics / I.G. Davydov, A.P. Aslamov, Y.P. Aslamov // 53rd Scientific Conference of post-graduate students, undergraduates and students of BSUIR / Minsk, BSUIR, 2017.
  6. Refinement of shaft spin frequency for vibration diagnostics tasks / I.G. Davydov, A.P. Aslamov, Y.P. Aslamov // 53rd Scientific Conference of post-graduate students, undergraduates and students of BSUIR / Minsk, BSUIR, 2017.
  7. Algorithms for refinement of the shaft rotational speed for solving the problems of vibration diagnostics of rotary equipment / Y. Aslamov, I. Davydov, A. Borsuk, A. Aslamov // First World Congress on Condition Monitoring, London, 13-16 June 2017, Session 6E: Vibration condition monitoring methods and technologies / The British Institute of Non-Destructive Testing.
  8. Sparse wavelet decomposition of signals for solving vibration diagnostics problems / Y. Aslamov, I. Davydov, A. Borsuk, A. Aslamov // First World Congress on Condition Monitoring, London, 13-16 June 2017, Session 7E: Vibration condition monitoring methods and technologies / The British Institute of Non-Destructive Testing.
  9. Sparse wavelet decomposition in problems of vibration-based diagnostics of rotary equipment / Y.P. Aslamov, A.P. Aslamov, I.G. Davydov, A.V. Borsuk // Doklady BGUIR [BSUIR reports], 2017, no. 8 (110), pp. 91-98. (in Russian)
  10. Wavelet function for rolling bearing diagnosis / Y.P. Aslamov, I.G. Davydov // Vestnik of PSU, Part B. Industry. Applied Sciences, 2018, no. 11, pp. 14-22 (in Russian)
  11. Sparse decomposition of vibration signals by wavelet redundant dictionary / Y.P. Aslamov, A.P. Aslamov, I.G. Davydov, A.V. Tsurko // Vestnik of PSU, Part C. Fundamental Sciences, 2018, no. 4, pp. 86-94 (in Russian)
  12. Feature space of sparse wavelet decomposition of vibration signals for machine learning problems / Y.P. Aslamov, I.G. Davydov // Vestnik of GSTU, 2018, no. 3, pp. 49-56 (in Russian)
  13. Wavelet functions for gearing diagnosis / Y.P. Aslamov, A.P. Aslamov, I.G. Davydov, A.V. Tsurko // Vestnik of PSU, Part B. Industry. Applied Sciences, 2018, no. 3, pp. 38-46 (in Russian)
  14. Influence of changes in shaft rotational speed of rotary equipment on frequency-domain processing / Y.P. Aslamov, A.P. Aslamov, I.G. Davydov, A.V. Tsurko // Doklady BGUIR [BSUIR reports], 2018, no. 3 (113), pp. 13-18 (in Russian)
  15. Rotary equipment vibration analysis based on phase trajectories / A.V. Tsurko, A.P. Aslamov, Y.P. Aslamov, I.G. Davydov // Doklady BGUIR [BSUIR reports], 2018, no. 6 (116), pp. 32-39 (in Russian)
  16. Sparse wavelet decomposition of vibration signals for pattern recognition problem / Y.P. Aslamov, A.P. Aslamov, I.G. Davydov, A.V. Tsurko // Vestnik of PSU, Part C. Fundamental Sciences, 2018, no. 12, pp. 12-23 (in Russian)
  17. Efficiency of scalogram use for assessment of the technical condition of rotary equipment / Y.P. Aslamov, A.P. Aslamov, I.G. Davydov, A.V. Tsurko // Doklady BGUIR [BSUIR reports], 2018, no. 2 (112), pp. 12-17 (in Russian)
  18. Sparse scalegram decomposition algorithm for condition monitoring of rotary equipment / Y.P. Aslamov, I.G. Davydov, N.V. Kosmach, R.V. Tolkach // Doklady BGUIR [BSUIR reports], 2019, no. 5 (123), pp. 25-31 (in Russian)
  19. Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals / Y.P. Aslamov, I.G. Davydov // Doklady BGUIR [BSUIR reports], 2019, no. 4 (122), pp. 11-17 (in Russian)
  20. Limits of applicability of the algorithm for sparse decomposition of vibration signals using the redundant wavelet dictionary / Y.P. Aslamov, I.G. Davydov // Vestnik of PSU, Part C. Fundamental Sciences, 2019, no. 3, pp. 11-20 (in Russian)
  21. Sparse wavelet decomposition with redundant dictionary for vibration waveform analysis / Y. Aslamov, A. Aslamov, I. Davydov, A. Tsurko // 14th International Conference on Pattern Recognition and Information Processing (PRIP’2019), Minsk, 21-23 May 2019, pp. 354-359
  22. Shaft Misalignment Data for Inter-component Phase Processing of Quasipolyharmonic Signals / D. Kechik, Y. Aslamov, I. Davydov // v. 1, Jul. 2020
  23. Vibration of rolling bearings under widely varying speed conditions / D. Kechik, Y. Aslamov, I. Davydov // Aug. 2020
  24. Bearing 6213 OR Dataset / D. Kechik, Y. Aslamov, I. Davydov // v. 1, Oct. 2020
  25. Method of vibration diagnostics of rotary equipment for detecting defects in rolling bearings / Y. Aslamov // EA034627B1, Feb. 28, 2020
  26. Method of vibration diagnostics of rolling bearings / N. Kosmach, Y. Aslamov // 2720328, Apr. 28, 2020
  27. Monitoring the performance of rotary equipment based on the analysis of the temporal structure of vibration signals / Y. Aslamov // Ph.D. Thesis, Minsk 2019
  28. Estimation of the frequency of shock pulses of a vibration signal / D. A. Kechik, Y. P. Aslamov, I. G. Davydov, I. V. Loshchinin // Minsk, 28-29 October. 2020, pp. 229-233

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