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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24 | 04 | 2024
2022, 08 August

DOI: 10.14489/td.2022.08.pp.004-013

Sokolova A. G., Balitsky F. Ya., Sizarev V. D.
EXPERT ASSESSMENT OF THE PO-3 MOBILE NEUTRON REFLECTOR CONDITION OF THE IBR-2 REACTOR WITH USING DISCRIMINANT AND CORRELATION METHODS OF ITS VIBRATION ANALYSIS
(pp. 4-13)

Abstract. In the development of vibration condition monitoring technology of the movable reflector PO-3 of the IBR-2 research reactor with using S-discriminant vibration analysis [1], the paper presents data and results of a correlation assessment of the stochastic interrelationship degree between S-discriminant and spectral functions in various frequency bands over 8 years of operation of the installation. This made it possible to identify the main sources of vibration activity of units of neutron reflector, developing operational malfunctions of some of its bearings and their influence on changes in its vibration and technical condition.

Keywords: vibration machinery, condition monitoring, vibration diagnostics, S-discriminant, incipient faults detection, stochastic relationship, cross-correlation.

A. G. Sokolova, F. Ya. Balitsky (Federal Budget-Fundet Research Institute for Machine Science named after A. A. Blagonravov of Russian Academy of Sciencies (IMASH RAN), 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.
V. D. Sizarev (Joint Stock Company N. A. Dollezhal Research and Development Institute of Power Engineering (JSC NIKIET), Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

 

1. Sokolova A. G., Balitsky F. Ya., Sizarev V. D. (2020). Peculiarities of machinery condition vibration monitoring with using the s-discriminants. Kontrol'. Diagnostika, Vol. 23, (10), pp. 4 – 11. [in Russian language] DOI: 10.14489/td.2020.10.pp.004-011.
2. Sokolova A. G. (2005). Algorithm for vibration monitoring of machinery with adaptation to the baseline. Kontrol'. Diagnostika, (11), pp. 30 – 34, 39 – 40. [in Russian language]
3. Mirskiy G. Ya. (1982). Characteristics of the stochastic relationship and their measurement. Moscow: Energoizdat. [in Russian language]

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