10.14489/td.2019.11.pp.060-064

2019, 11 November

DOI: 10.14489/td.2019.11.pp.060-064

Posadov V. V., Posadova O. L., Kolesova E. N., Kuchin V. V.
DIAGNOSTICS OF INCIPIENT DEFECTS OF GAS TURBINE ENGINE DURING BENCH TESTS
(pp.60-64)

Abstract. The paper describes the determination of useful vibration spectrum components during strength tuning of gas turbine engine by the example of diagnostics of defects of bearing collars. New diagnostics criterion is proposed and used in diagnostics method. The usage of this method allows defining the location of a defect in early stages by transformation of informative diagnostic components of a signal masked by noise in vibration spectrum. Implementation of proposed diagnostics method makes diagnostic components discontinuous (not diffused by frequency). It simplifies the identification of diagnostic components in vibration spectrum in comparison with traditional methods of processing and analysis of dynamic signals.

Keywords: gas turbine engine, diagnostic criterion, vibration spectrum, informative diagnostic component, diagnostics of bearing.

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V. V. Posadov, O. L. Posadova, E. N. Kolesova, V. V. Kuchin (PJSC “UEC-Saturn”, Rybinsk, 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. , 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.

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1. Posadov V. V., Posadova O. L., Kuchin V. V., Shumihina O. V. (2018). A method for diagnosing the technical condition of a rolling bearing of a rotor of a gas turbine engine during bench tests. Kontrol'. Diagnostika, (1), pp. 28 – 31. [in Russian language] DOI: 10.14489/td.2018.01.pp.028-031
2. Petruhin V. V., Petruhin S. V. (2010). Fundamentals of vibration diagnostics and vibration measuring instruments. Moscow: Infra-Inzheneriya. [in Russian language]
3. Teylor D. I. (1980). Identification of bearing defects using spectral analysis. Konstruirovanie i tekhnologiya mashinostroeniya, Vol. 102, (2), pp. 1 – 8. [in Russian language]
4. Linn D. Identification of defects in rolling bearings using vibration analysis. Vibrodiagnostics for beginners and specialists. Available at: http://www.vibration.ru/v_defekt.shtml (Accessed: 28.12.2018).
5. Firsov A. V., Posadov V. V. (2013). Diagnostics of rolling bearing defects during bench tuning of a small-sized high-speed gas turbine engine using vibrational spectral analysis. Kontrol'. Diagnostika, (7), pp. 40 – 47. [in Russian language]

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DOI: 10.14489/td.2019.11.pp.060-064

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