Published date:Feb 21 2018

Journal Title: KnE Engineering

Issue title: XIII International Youth Scientific and Practical Conference "FUTURE OF ATOMIC ENERGY - AtomFuture 2017"

Pages:443-451

DOI: 10.18502/keg.v3i3.1644

G.V. Chichikin

S.T. Leskin

A.Y. Puzakov

In this paper, we consider a variant of solving the problem of recognizing incorrect values of the measured parameters on the power unit of a nuclear power station (NPP) using methods of the theory recognition of images. As initial data, the measured parameters of the primary circuit of a VVER NPP in cold and hot operating conditions are used. The analysis of the data structure and localization of the images of the states of the nuclear island is carried out in the two-dimensional space of the principal components. To classify the input data a decision rule is used  . Individual measurements that do not fall into any of the classes are most likely to be attributed to incorrect value. 

[1] Nuclear power plants in Russia. Date views 23.09.2017 www.rosenergoatom.ru/ stations_projects/atomnye-elektrostantsii-rossii/


[2] S. T. Leskin, Razrabotka algoritmov raspoznavaniya anomalii v sostoyanii oborudovaniya AES po analizu dannyh operativnogo tekhnologicheskogo kontrolya.//Izvestiya vuzov. Yadernaya energetika. - 1997. - #4. - pp. 4-12. (in Russian)


[3] S. T. Leskin, V.I. Slobodchuk, A.S. Shelegov. Analiz sostoyaniya GCN VVER-1000 v processe expluatacii.//Izvestiya vuzov. Yadernaya energetika. - 2016. - #4. - pp. 12-23. (in Russian)


[4] R. P. Baklushin. Expluatacionnie regimi AES: uchebnoe posobie – 2-е izd., pererab. i dop. M.: Izdatelskiy dom MEI, 2012 pp: 532 с. (in Russian)


[5] L. N. Tretiyak. Obrabotka rezultatov nabludenii: uchebnoe posobie. – Orenburg: GOU OGU, 2004. – 171 с. (in Russian)


[6] U. E. Voskoboinikov. Ekonometrika v EXCEL. Chast 2. Analiz vremennih ryadov. Uchebnoe posobie. - NGASU, 2008. – 155 с. (in Russian)


[7] B. V. Gnedenko. Kurs teorii veroyatnostei. Uchebnik. Izd. 8-e, ispr. I dop. – M.:Editorial URSS, 2005. Pp: 448 (in Russian)


[8] S.A. Aivazyan, V.M. Buchstaber, I.S. Yenyukov, L.D. Meshalkin. Applied statistics. Classification and reduction of dimensionality. Reference edition. Finansy I statistika. Moscow 1989. Pp: 607.


[9] V. A. Il’in, E. G. Poznyak. Linejnaya algebra: Ucheb.: Dlya vuzov. – 5-e izd. – M.: Fizmatlit, 2002. – pp: 320 (in Russian)


[10] I. D. Mandel. Klastenii analiz. – M.: Finansy I statistika, 1988. – pp: 176. (in Russian)


[11] J. T. Tou, R. Gonzalez. Pattern recognition principles. Addson – Wesley Publishing Company 1974, pp: 404.