10.14489/td.2025.11.pp.017-027

2025, 11 November

DOI: 10.14489/td.2025.11.pp.017-027

Sokolova A. G., Balitsky F. Ya., Shirman A. R.
LOCALIZATION OF SOURCES OF VIBRATION REACTIVITY OF MACHINES ACCORDING TO MULTIDIMENSIONAL S-DISCRIMINANT ANALYSIS
(pp. 17-27)

Abstract. This publication discusses the results of vibration monitoring and localization of machinery increased vibration reactivity sources due to its degradation processes using the S-discriminant vibration analysis method. The proposed method is based on the results of parallel narrow-band discriminant analysis of amplitude-clipped vibration signals during any period of equipment operation. The purpose of this work is to select frequency bands for the S-discriminant analysis of machine case vibration, providing conditions for localization of frequencies of increased vibration reactivity for early detection of deviations from the normal functioning of equipment and identification of operational damages of components. The paper shows the inconsistency of using integrated, sufficiently broadband energy characteristics of vibration signal type of root mean square (RMS) and other parameters, like S-discriminants in a wide frequency band, as a criterion for assessing the technical condition of components of complex machinery such as compressors, turbines, gearboxes, pumps and other high-speed machines. An example of the practical use of the multidimensional discriminant vibration analysis method in narrow frequency bands is given to detect signs of operational damage to a PS-90 type gas turbine engine at an earlier stage than with the standard approach.

Keywords: machinery, vibration monitoring, diagnostics, vibration reactivity, locali-zation of sources, discriminant analysis.

+ - About the Authors Click to collapse

A. G. Sokolova (Mechanical Engineering Research Institute named after A. A. Blagonravov of Russian Academy of Sciences (IMASH RAN), Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
F. Ya. Balitsky, A. R. Shirman (LLC “Spectrum Engineering”, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

1. Federal Agency on Technical Regulating and Metrology. (2010). GOST R ISO 13373-1-2009. Monitoring and diagnostics of machines. Vibration monitoring. Part 1. General methods. Standartinform. [in Russian language].
2. Federal Agency on Technical Regulating and Metrology. (2010). GOST ISO 10816-3-2002. Vibration. Monitoring of machine condition by vibration measurements on non-rotating parts. Part 3. Industrial machines with nominal power above 15 kW and nominal speeds between 120 and 15 000 rpm. Standartinform. [in Russian language].
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5. Sokolova, A. G., Balitskiy, F. Y., & Sizarev, V. D. (2020). Features of vibration monitoring of the condition of machine equipment using S-discriminants. Kontrol. Diagnostika, 23(10), 4–11. [in Russian language]. https://doi.org/10.14489/td.2020.10.pp.004-011
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7. Sawalhi, N., & Randall, R. B. (2004, November 3–5). The application of spectral kurtosis to bearing diagnostics [Paper presentation]. Proceedings of ACOUSTICS 2004, Gold Coast, Australia.

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