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The Conception of NPP Equipment Monitoring Based on Nonparametric Statistics and Trained Neural Network
- Source :
- Глобальная ядерная безопасность, Vol 0, Iss 1, Pp 81-89 (2022)
- Publication Year :
- 2022
- Publisher :
- Национальный исследовательский ядерный университет МИФИ, 2022.
-
Abstract
- The 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
- Subjects :
- мониторинг
прогнозирование
безопасность аэс
главный циркуляционный насос
цифровая обработка сигналов
искусственная нейронная сеть
непараметрическая статистика
фильтр калмана-бьюси
обработка в реальном времени
нормативные пределы
monitoring
forecasting
npp safety
main circulation pump
digital signal processing
artificial neural network
nonparametric statistics
kalman-bucy filter
real-time processing
regulatory limits
Nuclear engineering. Atomic power
TK9001-9401
Subjects
Details
- Language :
- English, Russian
- ISSN :
- 2305414X and 24999733
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Глобальная ядерная безопасность
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7c4e3d46ab43838e982fdc1d71db9e
- Document Type :
- article
- Full Text :
- https://doi.org/10.26583/gns-2020-01-09