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2021 №02 (03) DOI of Article
10.37434/tdnk2021.02.04
2021 №02 (05)


Technical Diagnostics and Non-Destructive Testing #2, 2021, pp. 30-37

Methods and means of early vibrodiagnostics of bearing units of rotary mechanisms

I.M. Yavorskyi2, R.M. Yuzefovych3, O.V. Lychak1, M.Z. Varyvoda1, I.H. Stetsko1


1G.V. Karpenko Physico-Mechanical Institute of NASU. 5 Naukova str., 79060, Lviv, Ukraine. E-mail: roman.yuzefovych@gmail.com
2University of Science and Technology, Institute of Telecommunications and Computer Science. 7 prof. S. Kaliskiego al., 85796, Bydgoszcz, Poland.
3Lviv Polytechnic National University. 12 S. Bandery str., 79013, Lviv, Ukraine.

The characteristics of methods and tools for vibration diagnostics of rotating units of mechanisms on the basis of models of vibration signals in the form of periodically correlated random processes (PKVP) are given. Those models make it possible to detect and analyze the relations of repeatability and stochasticity in the properties of vibration that allows defining appearance of defects. Such an approach significantly increases the efficiency of early detection of defects and establishment of their types. The main stages of statistical processing of vibration signals to determine the diagnostic features are described. Technical characteristics of developed vibration diagnostic systems VECTOR, PULSE and COMPACT-VIBRO are given. 33 Ref., 1 Tabl., 1 Fig.
Keywords: vibrodiagnostics, non-destructive testing, vibration signal, periodically correlated random process, specialized devices, defect, bearing

Received: 24.05.2021

References

1. Javorskyj, I.M. (2013) Mathematical models and analysis of stochastic oscillation. Lviv, PMI [in Ukrainian].
2. (2001) Fracture mechanics and strength of materials: Refer. book, Vol.5: Non-destructive testing and technical diagnostics. Ed. by Z.T. Nazarchuk. Lviv, PMI [in Ukrainian].
3. Javorskyi, I.N., Yuzefovich, R.M., Matsko, I.J., Semenov, P.A. (2015) Stochastic models of vibrosignals and their analysis for investigation of mechanical system state. Upravlyayushchie Sistemy i Mashiny, 6(260), 34-42 [in Russian].
4. Javorskyj, I.M., Storozhuk, Ya.V., Yuzefovych, R.M. et al. (2014) Investigation of the causes for increased vibration of turbogenerators No. 4 and No. 5 of TGV-200 type at Burshtyn plant. In: Proc. of Vth Int. Conf. on Fracture Mechanics and Strength of Structures. Lviv, NU «Lvivska Politekhnika », 829-834.
5. Yuzefovych, R.M., Yavorskyj, I.M., Matsko, I.Y., Lychak, O.V. et al. (2020) Devices for detection of defects at early stages of their initiation at determination of technical condition of mechanisms. Tekh. Diahnost. ta Neruiniv. Kontrol, 4, 8-16 [in Ukrainian]. https://doi.org/10.37434/tdnk2020.04.02
6. Javorskyj, I.M., Isayev, I.Yu., Kravets, I.B. et al. (2009) Methods to increase the efficiency of statistical analysis of vibration signals from bearing supports of turbine units of thermal power plants. Fiz.-Khimich. Mekhanika Materialiv, 3, 49-59 [in Ukrainian].
7. Javorskyj, I.M., Drabych, P.P., Isayev, I.Yu. et al. (2009) Development of an information-measurement system for vibrodiagnostics of bearings of large stationary units. In: Problems of service life and safety of structures, constructions and machines. Kyiv, PWI, 113-122 [in Ukrainian].
8. Javorskyj, I.M., Drabych, P.P., Kravets, I.B. et al. (2010) Methods and means of early diagnostics of rotating mechanisms. In: Proc. of Sci.-Techn. Conf. on Service Life, Reliability and Effectiveness of Application of Power Equipment, Kharkiv, 31-38.
9. Javorskyj, I.M., Drabych, P.P., Kravets, I.B., Matsko, I.J. (2011) Methods of vibration diagnostics of early stages of damage of rotating systems. Fiz.-Khimich. Mekhanika Materialiv, 2(47), 134-140 [in Ukrainian]. https://doi.org/10.1007/s11003-011-9389-2
10. Capdessus, C., Sidahmed, M., Lacoume, J.L. (2000) Cyclostationary processes: Аpplication in gear fault early diagnostics. Mechanical Systems and Signal Processing, 14(3), 371-385. https://doi.org/10.1006/mssp.1999.1260
11. Antoni, I., Bonnardot, F., Raad, A., El Badaoui (2004) Cyclostationary modeling of rotating machine vibration signals. Mechanical Systems and Signal Processing, 18, 253-265. https://doi.org/10.1016/S0888-3270(03)00088-8
12. Zhu, Z., Kong, F. (2005) Cyclostationary analysis for gearbox condition monitoring: Approaches and effectiveness. Mechanical Systems and Signal Processing, 19(3), 467-482. https://doi.org/10.1016/j.ymssp.2004.02.007
13. Antoni, I. (2009) Cyclostationarity by examples. Mechanical Systems and Signal Processing, 23, 987-1036. https://doi.org/10.1016/j.ymssp.2008.10.010
14. (1994) Cyclostationarity in Communications and Signal Processing. Ed. by W.A. Gardner, New York, IEEE Press.
15. Hurd, H.L., Miamee, A. (2007) Perodically Correlated Random Sequences Spectral Theory and Practice. New Jersey, Wiley-Interscience. https://doi.org/10.1002/9780470182833
16. Napolitan, A. (2020) Cyclostationary Processes and Time Series: Theory, Applications and Generalizations. Elsevier, Academic Press.
17. Javorskyj, I.M., Yuzefovych, R.M., Kravets, I.B., Matsko, I.J., Stetsko, I.G. (2012) Information-measurement systems of early vibration diagnostics. In: Proc. of 7th Nat. Sci.-Tech. Conf. on Non-destructive Testing and Technical Diagnostics. Kyiv, PWI, 373-377 [in Ukrainian].
18. Javorskyj, I.M., Yuzefovych, R.M., Kravets, I.B., Matsko, I.J., Stetsko, I.G. 2015) Development of vibrodiagnostic system for determination of industrial equipment defects with application of methods of non-stationary statistical treatment of vibration and acoustic oscillations. Tekh. Diagnost. i Nerazrush. Kontrol, 4, 36-41 [in Ukrainian]. https://doi.org/10.15407/tdnk2015.04.05
19. Yuzefovych, R.M., Dzeryn, O.Yu., Stetsko, I.G., Javorskyj, I.M. (2017) Development of information-measurement devices for non-destructive testing and methods of nonstationary analysis of vibration signals. In: Proc. of 16th Int. Sci.- Tech. Conf. on Instrument Engineering: State-of-the-art and Prospects. Kyiv, NTUU KPI, 142.
20. Yuzefovych, R.M., Javorskyj, I.M., Varyvoda, M.Z., Stetsko, I.G., Trokhym, G.R. (2019) Application of specialized non-destructive testing devices for vibration diagnostics. In: Proc. of 17th Int. Sci.-Tech. Conf. on Instrument Engineering: State-of-the-art and Prospects. Kyiv, NTUU KPI, 53-154.
21. Javorskyj, I.M., Yuzefovych, R.M., Stetsko, I.G., Trokhym, G.R., Matsko, I.J. (2019) Methods of nonstationary analysis of vibration signals of rotating assemblies in specialized non-destructive testing devices. In: Proc. of 9th Nat. Sci.- Tech. Conf. on Non-Destructive Testing and Technical Diagnostics. Kyiv, PWI, 75-80 [in Ukrainian].
22. Yuzefovych, R.M., Javorskyi, I.M., Dzeryn, O.Y., Trokhym, G.R. et al. (2020) Application of specialized nondestructive testing device for analysis of vibration signals of bearing assemblies by the methods of mutual nonstationary analysis. Tekh. Diahnost. ta Neruiniv. Kontrol, 1, 17-27 [in Ukrainian] doi.org/10.37434/tdnk2020.01.02 https://doi.org/10.37434/tdnk2020.01.02
23. Yuzefovych, R.M., Javorskyj, I.M., Semenov, P.O., Stetsko, I.G. (2020) System of non-destructive testing for determination of technical state of rotary mechanisms. In: Abstr. of Papers of 23rd Int. Conf. on Non-destructive Testing and Monitoring of Technical State. Odessa, 65 [in Ukrainian].
24. Javorśkyj, I., Isayev, I., Zakrzewski, Z., Brooks, S. (2007) Coherent covariance analysis of periodically correlated random processes. Signal Processing, 87, 13-32. https://doi.org/10.1016/j.sigpro.2006.04.002
25. Javorśkyj, I., Isayev, I., Majewski, J., Yuzefovych, R. (2010) Component covariance analysis for periodically correlated random processes. Signal Processing, 90, 1083-1102. https://doi.org/10.1016/j.sigpro.2009.07.031
26. Javorśkyj, I., Yuzefovych, R., Kravets, I., Zakrzewski, Z. (2011) Least squares method in the stochastic analysis of periodically correlated random processes. Radioelectronics and Communications Systems, 54(1), 45-49. https://doi.org/10.3103/S0735272711010079
27. Javorśkyj, I., Leśkow, I., Kravets, I., Isayev, I., Gajecka, E. (2012) Linear filtration methods for statistical analysis of periodically correlated random processes. Pt I: Coherent and component methods and their generalization. Signal Processing, 92, 1559-1566. https://doi.org/10.1016/j.sigpro.2011.09.030
28. Javorskyj, I., Leśkow, I., Kravets, I., Isayev, I., Gajecka, E. (2011) Linear filtration methods for statistical analysis of periodically correlated random processes. Pt II: Harmonic series representation. Signal Processing, 91, 2506-2519. https://doi.org/10.1016/j.sigpro.2011.04.031
29. Javorskyi, I.N. (1984) Application of Bui-Ballo scheme in statistical analysis of rhythmic signals. Izv. Vuzov. Radioelektronika, 27, 31-37 [in Russian].
30. Javorskyj, I., Kravets, I., Matsko, I., Yuzefovych, R. (2017) Periodically correlated random processes: Application in early diagnostics of mechanical systems. Mechanical Systems and Signal Processing, 83, 406-438. https://doi.org/10.1016/j.ymssp.2016.06.022
31. Javorskyy, I., Matsko, I., Yuzefovych, R., Zakrzewski, Z. (2016) Discrete estimators of characteristics for periodically correlated time series. Digital Signal Processing, 53, 25-40. https://doi.org/10.1016/j.dsp.2016.03.003
32. Javorskyj, I., Yuzefovych, R., Kravets, I., Matsko, I. (2014) Methods of periodically correlated random processes and their generalizations. Cyclostationarity: Theory and Methods. Lecture Notes in Mechanical Engineering. Ed. by F. Chaari, J. Leskow, A. Sanches-Ramirez, New York, Springer Int. Publish. Switzerland, 73-93. https://doi.org/10.1007/978-3-319-04187-2_6
33. Javors`kyj, I., Yuzefovych, R., Matsko, I., Zakrzewski, Z., Majewski, J. (2017) Coherent covariance analysis of periodically correlated random processes for unknown nonstationarity period. Digital Signal Processing, 65, 27-51. https://doi.org/10.1016/j.dsp.2017.02.013

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