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- Article name
- APPLYING BIG DATA PROCESSING TECHNOLOGIES TO NUCLEAR PLANT EQUIPMENT MODEL
- Authors
- Sumarokov S. V., , sumarokov@ibrae.ac.ru, Nuclear Safety Institute of the Russian Academy of Sciences, Moscow, Russia
Gavrov K. E., , kgavrov@ibrae.ac.ru, Nuclear Safety Institute of the Russian Academy of Sciences, Moscow, Russia
Dolganov A. E., , dae@ibrae.ac.ru, Nuclear Safety Institute of the Russian Academy of Sciences (IBRAE RAN), Moscow, Russia
Novoselsky Ph. O., , pn@ibrae.ac.ru, Nuclear Safety Institute of the RAS, Moscow, Russia
- Keywords
- big data / equipment / anomaly / failure / predictive analytics
- Year
- 2021 Issue 2 Pages 10 - 14
- Code EDN
- Code DOI
- 10.52190/2073-2597_2021_2_10
- Abstract
- The article describes the results of the development and testing of the prototype of the big data processing module, which obtains data from the mathematical model of the steam turbine installation and systems of the second round of the BREST-OD-300 nuclear power unit of the "Proryv" project.
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