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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23 | 12 | 2024
2023, 11 November

DOI: 10.14489/td.2023.11.pp.058-062

Elkhutov S. N., Lavrik A. A.
CONTROL OF THE TECHNICAL CONDITION OF RECIPROCATING MACHINES BASED ON THE ANALYSIS OF THE UNEVEN ROTATION OF THE SHAFT
(pp. 58-62)

Abstract. The question of the use of vibroacoustic control to assess the technical condition of piston machines is considered. In most cases, the vibroacoustic method of non-destructive testing is based on the analysis of the vibration spectrum of the controlled equipment. Since the angular velocity of the piston machine shaft is not constant, the shape of the spectrum also changes, which complicates the application of this method of non-destructive testing. A hypothesis is proposed about the possibility of determining the technical condition of piston-type machines, based on the measurement of deviations of the angular velocity of the shaft depending on the angle of its rotation, without the use of spectral analysis, experimental measurements of the angular velocity of the shaft of a piston machine were carried out using a measuring device based on an absolute magnetic encoder. Experimental data have been obtained to identify emerging defects of the piston machine.

Keywords: non-destructive testing, piston machine, angular velocity, encoder.

S. N. Elkhutov, A. A. Lavrik (Angarsk State Technical University, Angarsk, 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.  

1. Kostyukov V. N., Naumenko A. P. (1997). Experience in vibration diagnostics of piston machines. Engine-97: MNTK materials. Moscow: Izdatel'stvo MGTU. [in Russian language]
2. Rusov V. A. (2012). Diagnosis of defects in rotating equipment using vibration signals. Perm'. [in Russian language]
3. Harkevich A. A. (2018). Spectra and analysis. Moscow: Leland. [in Russian language]
4. Elkhutov S., Lavrik A. (2020). Method for determining the technical condition of piston machines by measuring the angular velocity of the shaft. Journal of Physics. Conference Series, 1680(1).
5. Krakovskiy Yu. M. (2006). Mathematical and software tools for assessing the technical condition of equipment. Novosibirsk: Nauka. [in Russian language]
6. Naumenko A. P. (2007). Methodology for vibroacoustic diagnostics of piston machines. Vestnik MGTU im. N. E. Baumana. Seriya Mashinostroenie, 85 – 95. [in Russian language]
7. Egorenkov D. L., Fradkov A. L., Harlamov V. Yu. (2015). Basics of mathematical modeling. Construction and analysis of models with examples in MATLAB. Saint Petersburg. [in Russian language]
8. El'hutov S. N., Pudalov A. D., Lavrik A. A. (2020). A method for determining the technical condition of piston machines based on the results of measuring the angular velocity of the shaft. Collection of articles of the VIII All-Russian Scientific and Practical Conference, 86 – 91. Penza: Nauka i Prosveshchenie. [in Russian language]

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