2020-1 (34)

Operation of nuclear industry facilities

Article NameThe Conception of NPP Equipment Monitoring Based on Nonparametric Statistics and Trained Neural Network
AuthorsV.V. Krivin1, V.Ya. Shpicer2, V.G. Beketov3, I.O. Ishigov4, V.A. Tolstov5.
Address

Volgodonsk Engineering-Technical Institute – Branch of NRNU «MEPhI»,

Lenina street, 73/94, Volgodonsk, Russia 347360

1ORCID iD: 0000-0003-0903-0786

WoS ResearcherID: E-2267-2018

e-mail: vvkrivin@mephi.ru

2ORCID iD: 0000-0002-5051-5091

e-mail: shpitser@mephi.ru

3ORCID iD: 0000-0003-0242-6745

WoS ResearcherID: G-3866-2017

e-mail: vvbeketov@mephi.ru

4ORCID iD: 0000-0002-5829-6989

WoS ResearcherID: E-2448-2018

e-mail: ioishigov@mephi.ru

5ORCID iD: 0000-0001-7144-5195

WoS ResearcherID: F-1032-2017

e-mail: v-tolstov-2017@mail.ru

AbstractThe article deals with the concept of monitoring based on nonparametric statistics. It is supposed the possible application to monitor the technological systems of nuclear power plants. Modern complex plants and technogenic objects are equipped with industrial monitoring systems. The evolution of such systems in natural form is the generation of alternative concepts, constructs, and items selection for efficiency during operation.
Keywordsmonitoring, forecasting, NPP safety, main circulation pump, digital signal processing, artificial neural network, nonparametric statistics, Kalman-Bucy filter, real-time processing, regulatory limits.
LanguageRussian
References
  1. Ostrejkovskij V.A., Shvy`ryaev Yu.V. Bezopasnost` atomny`x stancij. Veroyatnostny`j analiz [Nuclear Plant Safety. Probability Analysis]. Moskva [Moscow]. Fizmatlib. 2008. 352 p.
    (in Russian).
  2. Richard G. Lyons. Cifrovaya obrabotka signalov [Understanding Digital Signal Processing]. Moskva. [Moscow]. Binom-Press. 2006. 656 p. (in Russian).
  3. Ajvazyan S.A. et al. Prikladnaya statistika: Osnovy` modelirovaniya i pervichnaya obrabotka danny`x [Applied Statistics: Fundamentals of Modelling and Primary Data Processing]. Moskva. Finansy` i Statistika [Moscow. Finance and Statistics]. 1983. 471 p. (in Russian).
  4. Bramer K., Ziffling G. Fil`tr Kalmana-B`yusi [Kalman-Bucy Filter]. Moskva. Nauka [Moscow. Science]. 1982. 199 p. (in Russian).
  5. Flax P. Mashinnoe obuchenie. Nauka i iskusstvo postroeniya algoritmov, kotory`e izvlekayut znaniya iz danny`x [The Machine Learning. The Science and Art of Building Algorithms that Extract Knowledge from Data]. Moskva [Moscow]. DMK Press. 2015. 400 p. (in Russian).
  6. Sokolova E`.S., Lyaxmanov D.A. Analiz vremenny`x ryadov texnicheskix parametrov promy`shlenny`x ob``ektov [Analysis of Time Series of Technical Parameters of Industrial Objects]. Trudy` Nizhegorodskogo gosudarstvennogo texnicheskogo universiteta im. R.E. Alekseeva [Works of Nizhni Novgorod State Technical University n. a. R.Y. Alexeev]. Nizhni Novgorod. 2013. № 2(99). 366 p. (in Russian).
  7. Ventcel` E.S., Ovcharov L.A. Teoriya sluchajny`x processov i eyo inzhenerny`e prilozheniya [Theory of random processes and its engineering applications]. Moskva. Vy`ssh. shk. [Moscow. High School]. 2000. 383 p. (in Russian).
  8. Runion R. Spravochnik po neparametricheskoj statistike. Sovremenny`j podxod [Handbook of Nonparametric Statistics. Modern Approach]. Moskva. Finansy` i Statistika [Moscow. Finance and Statistics]. 1982. 198 p. (in Russian).
  9. Pogosov A.Yu., Polozhaenko S.A., Grigorenko Yu.V. Modelirovanie fizicheskix processov i texnologicheskaya informatizaciya v neftyanoj promy`shlennosti i e`nergetike [Modeling of Physical Processes and Technological Informatization in the Oil Industry and Energy]. Odessa. Nauka i Texnika. 2013. 656 p. (in Russian).
  10. Sy`soev Yu.S., Beketov V.G., Simakova N.A. Algoritm prognozirovaniya drejfa temperatur maslosistemy` GCzN bloka AE`S s reaktorom VVE`R-1000 [Prediction Algorithm the Temperature Drift of the MCP Oil System of a Nuclear Power Plant Unit With a WWER-1000 Reactor]. Global`naya yadernaya bezopasnost` [Global Nuclear Safety]. 2016. № 3(20).
    P. 57-63.
  11. E`l`yasberg P.E. Opredelenie dvizheniya po rezul`tatam izmerenij [Motion Detection Based on Measurement Results]. Moskva [Moscow]. Librokom. 2019. 416 p. (in Russian).
  12. Sizikov V.S. Ustojchivy`e metody` obrabotki rezul`tatov izmerenij [Sustainable Methods of Processing Measurement Results]. Sankt-Peterburg. Specz Lit. 1999. 240 p. (in Russian).

 

Papers81 - 89
URL ArticleURL Article
 Open Article