Determination of the dependence of the NPP unit power on the steam temperature at the outlet of the superheater separator first stage with an uncertainty of information

The article discusses the application of the standard statistical approach and interval analysis procedures to the estimation of the parameters of the dependence of the power of an NPP power unit on the steam temperature at the outlet of the first stage of the superheater separator under conditions...

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Збережено в:
Бібліографічні деталі
Дата:2022
Автори: Yefimov, O.V., Potanina, Т.V.
Формат: Стаття
Мова:English
Опубліковано: Національний науковий центр «Харківський фізико-технічний інститут» НАН України 2022
Назва видання:Вопросы атомной науки и техники
Теми:
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/195923
Теги: Додати тег
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Determination of the dependence of the NPP unit power on the steam temperature at the outlet of the superheater separator first stage with an uncertainty of information / O.V. Yefimov, Т.V. Potanina // Problems of Atomic Science and Technology. — 2022. — № 1. — С. 169-172. — Бібліогр.: 15 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
Опис
Резюме:The article discusses the application of the standard statistical approach and interval analysis procedures to the estimation of the parameters of the dependence of the power of an NPP power unit on the steam temperature at the outlet of the first stage of the superheater separator under conditions of measurements noise, unknown probabilistic characteristics of errors and with a short measurements sample. The influence of reducing the error in determining the power of the power unit on the choice of the experiment result processing method is investigated. The situation of measurement error limitation without reliable information about its distribution is considered. The correctness of the application of interval analysis numerical methods for processing experimental data under conditions of uncertainty and a significant decrease in the maximum value of the total error is shown. The data were approximated by the Levenberg-Marquardt minimization method when the relative error of the measurement results equaled 5%.