Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
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18 | 11 | 2024
2018, 01 January

DOI: 10.14489/td.2018.01.pp.028-031

 

Posadov V. V., Posadova O. L., Kuchin V. V., Shumikhina O. V.
METHOD OF ROLLER BEARING TECHNICAL STATE DIAGNOSTICS DURING BENCH TESTS OF GAS TURBINE ENGINE
(pp. 28-31)

Abstract. This paper describes technical state diagnostics of roller bearing of rotor of gas turbine engine. This gas turbine engine was tested by longterm test on the bench. In the process of this test amount of lube in the bearing was decreasing step by step. The phases of bearing defect are described in the paper: from first symptoms of insufficiency of lubrication to extreme case – bearing starvation characterized by change of controlled vibration spectrum and increase of temperature of outer bearing race. It is known that bearing starvation produces nonsynchronous precession of rotor on its first critical speed that causes changes in spectrum of controlled vibration. This paper presents new diagnostics method that can discover insufficient lubrication of roller bearing of gas turbine engine’s rotor at first stage of the defect. This method allows to prevent the breakdown linked with the damage of the bearing.

Keywords: gas turbine engine, vibration spectrum, diagnostics of bearings, insufficiency of lubrication.

 

V. V. Posadov, O. L. Posadova, V. V. Kuchin, O. V. Shumikhina (Public Joint-stock Company “UEC-Saturn”, Rubinsk, 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.  

 

 

1. Linn D. Detection of defects of rolling bearings by means of spectral analysis of vibration. Vibrodiagnostics for beginners and professionals. Available at: http://www.vibration.ru/v_defekt.shtml (Accessed: 01.08.2017). [in Russian language]
2. Teilor D. I. (1980). Identification of bearing defects using spectral analysis. Konstruirovanie i tekhnologiia mashinostroeniia. (Journal of Engineering of Industry. Transactions of the ASME. Ser. B: proceedings of American Society of Mechanical Engineers), 102(2), pp. 1-8. [in Russian language]
3. Posadov V. V., Slobodskoi D. A., Posadova O. L., Kuchin V. V. (2016). Diagnostics of vibratory combustion in combustion chamber of aircraft gas turbine engine. Kontrol'. Diagnostika, (2), pp. 40-45. doi: 10.14489/td.2016.02. pp.040-045 [in Russian language]
4. Firsov A. V., Posadov V. V. (2011). Experience of identification gas turbine engines malfunctions with narrow-band spectral vibration analysis. Kontrol'. Diagnostika, (12), pp. 51-59. [in Russian language]

 

 

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