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Prediction of the change in reliability of reactor vessels on the basis of the method of mathematical classification

Authors: Yu. B. Vorob’ev; V. D. Kuznetsov;
doi: 10.1007/bf02408107
Abstract
An approach is proposed for predicting the change in the reliability of reactor pressure vessels of nuclear power plants. A computer program was used to perform a series of calculations for finding the invariant classification as a function of the degree of stochastic action on a time interval. A stable solution was obtained by modeling the stochastic action with a root mean square deviation of up to 15% of the instantaneous normalized value of the parameter. The proposed approach is not universal, but has the advantages of easily correcting forecast data, avoiding extreme conservatism, and usability at all stages of design, fabrication, assembly, and operation. 7 refs., 1 tab.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
0
Average
Average
Average