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. 

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