Registration and signal processing in measuring system for monitoring leaks of NPP pipeline fittings
https://doi.org/10.25206/1813-8225-2023-188-117-124
EDN: VNPKYM
Abstract
The article is devoted to the problem of identification of leakiness of pipeline fittings. A measuring system for leak monitoring is described. In contrast to the organoleptic approach adopted in practice, automatic signal processing is proposed, followed by a conclusion about the tightness of the valve. The automatic processing is based on an algorithm based on the analysis of the singular spectrum, which provides an increase in sensitivity. The effectiveness of the complex is confirmed by the test results of the measuring complex using a hydraulic stand.
About the Authors
E. A. Abidova
Volgodonsk Institute of Engineering and Technology — branch of the National Research Nuclear University «MEPHI»
Russian Federation
Russian Federation
Elena A. Abidova - Candidate of Technical Sciences, Associate Professor of Information and Control Systems Department, Volgodonsk Institute of Engineering and Technology — branch of the National Research Nuclear University «MEPHI».
Volgodonsk
V. I. Ratushny
Volgodonsk Institute of Engineering and Technology — branch of the National Research Nuclear University «MEPHI»
Russian Federation
Russian Federation
Viktor I. Ratushny - Doctor of Physical and Mathematical Sciences, Professor of Physical and Mathematical Disciplines Department, Volgodonsk Institute of Engineering and Technology — branch of the National Research Nuclear University «MEPHI».
Volgodonsk
AuthorID (SCOPUS) 6603218775
References
1. RD EO 1.1.2.01.0190-2010. Polozheniye po otsenke tekhnicheskogo sostoyaniya i ostatochnogo resursa truboprovodnoy armatury energoblokov atomnykh stantsiy [Regulations on the assessment of the technical condition and residual life of pipeline fittings of power units of nuclear power plants]. Moscow, 2016. 23 p. (In Russ.).
2. Seynov S. V., Goshko A. I., Adamenkov A. K. [et al.]. Tekhnicheskoye diagnostirovaniye armatury AES [Technical diagnostics of NPP fittings]. Moscow, 2012. 452 p. (In Russ.).
3. NP-089-15. Pravila ustroystva i bezopasnoy ekspluatatsii oborudovaniya i truboprovodov atomnykh energeticheskikh ustanovok [Rules for the design and safe operation of equipment and pipelines of nuclear power plants]. Moscow, 2017. 72 p. (In Russ.).
4. Teju V., Bhavana D. An efficient object detection using OFSA for thermal imaging // International Journal of Electrical Engineering & Education. 2020. No. 1 (22). Р. 1–22. DOI: 10.1177/0020720920944434. (In Engl.).
5. Drobotov A. V. Metod diagnostirovaniya elektroprivodnoy armatury s kontrolem diagnosticheskikh parametrov i opyt yego primeneniya na Smolenskoy AES [Method for diagnosing electric valves with control of diagnostic parameters and experience of its application at the Smolensk NPP] // Armaturostroyeniye. Armaturostroyeniye. 2008. No. 1 (52). P. 52–60. (In Russ.).
6. Adamenkov A. K., Veselova I. N., Ryasnyy S. I. Metod otsenki germetichnosti truboprovodnoy armatury teplovykh i atomnykh stantsiy [Method of tightness evaluation of the nuclear and thermal power plant valves] // Tyazheloye mashinostroyeniye. Tyazheloye Mashinostroyeniye. 2008. No. 6. P. 2–3. (In Russ.).
7. Ispytaniya stendov «Krona-517» i «ATE Ts-3000» [Testing of stands «Krona-517» and «ATE TS-3000»]. URL: http://npk-krona.ru/2015/03/ispytaniya-stendov-krona-517-i-ate-ts-3000 (accessed: 01.04.2020). (In Russ.).
8. Abidova E. A., Dembitsky A. E., Lapkis A. A., Chernov A. V. Synthesis of Control Systems for Complex Technical Objects // IOP Conference Series: Materials Science and Engineering. 2020. Vol. 971, Issue 3. 032058. DOI: 10.1088/1757-899X/971/3/0320589. (In Engl.).
9. Chernov A. V., Abidova E. A., Khegay L. S. Diagnostika negermetichnosti v zatvore elektroprivodnoy armatury po entropiynym pokazatelyam zvukovykh i ul’trazvukovykh signalov [Diagnosis of leakage in the gate of electric drives by the entropy indicators of sound and ultrasonic signals] // Inzhenernyy vestnik Dona. Engineering Journal of Don. 2017. No. 4. URL: http://www.ivdon.ru/ru/magazine/archive/n4y2017/4493 (accessed: 10.06.2023). (In Russ.).
10. Hassani J., Kalantari H., Beneki C. Comparative Assessment of Hierarchical Clustering Methods for Grouping in Singular Spectrum Analysis // Applied Math 2021. Vol. 1 (1). P. 18–36. DOI: 10.3390/appliedmath1010003. (In Engl.).
11. Hassani H., Kalantari M. Automatic Grouping in Singular Spectrum Analysis // Forecasting. 2019. Vol. 1. P. 189–204. DOI: 10.3390/forecast1010013. (In Engl.).
12. Optimizatsiya metodov diagnostiki podshipnikov kacheniya po vysokochastotnoy vibratsii [Optimisation of methods of rolling bearings diagnostics by high-frequency vibration] // Metody i sredstva otsenki sostoyaniya energeticheskogo oborudovaniya. Methods and Means of Power Equipment Condition Assessment. 2002. Issue 15. URL: https://masters.donntu.ru/2010/etf/prokopets/library/article5.htm (accessed: 10.06.2023). (In Russ.).
13. Kilundu B., Dehombreux P., Letot C. [et al.]. Early detection of bearing damage by means of decision trees // Journal of Automation, Mobile Robotics & Intelligent Systems. 2009. Vol. 3. P. 70–74. (In Engl.).
14. Balaratnam N., Weidenauer J., Wagner F. [et al.]. Comparison of envelope demodulation methods in the analysis of rolling bearing damage // Journal of Vibration and Control. 2022. P. 1–12. DOI: 10.1177/10775463221129155. (In Engl.).
15. Golyandina N., Zhigljavsky A. Singular Spectrum Analysis for Time Series. 2nd ed. New York: Springer, 2020. 146 p. (In Engl.).
16. Babenko R. G., Nikiforov V. N., Pugacheva O. Yu. [et al.]. Otsenka veroyatnosti obnaruzheniya defektov pri diagnostike oborudovaniya vibroakusticheskim metodom [Estimating the probability of defect detection in the equipment diagnosis by vibroacoustic method] // Global’naya yadernaya bezopasnost’. Global Nuclear Safety. 2014. No. 4. (13). P. 74–78. (In Russ.).
Review
For citations:
Abidova E.A., Ratushny V.I. Registration and signal processing in measuring system for monitoring leaks of NPP pipeline fittings. Omsk Scientific Bulletin. 2023;(4):117-124. (In Russ.) https://doi.org/10.25206/1813-8225-2023-188-117-124. EDN: VNPKYM
Views:
8
JATS XML
Email this article 