Parameters estimation in modelling of gas-gap in RBMK type reactor using Bayesian approach

Šarūnienė, Inga; Augutis, Juozas; Telksnys, Laimutis

Use this url to cite publication: https://hdl.handle.net/20.500.12259/50487

Parameters estimation in modelling of gas-gap in RBMK type reactor using Bayesian approach

Type of publication

Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)

Author(s)

Author	Affiliation
Šarūnienė, Inga	Matematikos ir statistikos katedra / Department of Mathematics and Statistics	LT
Augutis, Juozas	Matematikos ir statistikos katedra / Department of Mathematics and Statistics	LT
Telksnys, Laimutis	Matematikos ir informatikos institutas	LT

Title

Parameters estimation in modelling of gas-gap in RBMK type reactor using Bayesian approach

[en]

Other Title

RBMK tipo branduolinio reaktoriaus dujų tarpelio matematinio modelio parametrų vertinimas Bajeso metodu

[lt]

Is part of

Informatica. Vilnius : Institute of Mathematics and Informatics, 2010, Vol. 21, no. 2

Date Issued

Date
2010

Publisher

Vilnius : Institute of Mathematics and Informatics

Is Referenced by

Science Citation Index Expanded (Web of Science)

INSPEC

Scopus

Extent

p. 295-306

URI

URI
http://www.mii.lt/informatica/pdf/INFO786.pdf
https://hdl.handle.net/20.500.12259/50487

Field of Science

Keywords (lt)

Keywords (en)

Abstract (lt)

Straipsnyje pristatytas algoritmas, leidžiantis apskaiˇciuoti nestacionari u proces u (pavyzdžiui, irengini u sen˙ejimo proceso) matematini u modeli u parametr u iverˇcius bei juos patikslinti, panaudojant apriorin e informacij a ir gautus steb˙ejimo arba matavim u duomenis. Pasi¯ulytas algoritmas yra paremtas modifikuotu Bajeso metodo taikymu. Sudarytas algoritmas buvo panaudotas atliekant Ignalinos atomin˙es elektrin˙es antro energetinio bloko RBMK-1500 tipo reaktoriaus duj u tarpelio (tarp technologinio kuro kanalo ir j i supanˇci u grafito žied u) užsidarymo tikimybine analize.

Abstract (en)

This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system ageing model, dynamic system models and so on) with respect of prior information and new obtained observations. Proposed algorithm for updating estimates of random parameters is based on modified application of Bayesian approach (BA). Developed algorithm was applied for Ignalina NPP Unit 2 RBMK-1500 reactor's closure of the gas-gap between the pressure tubes and the graphite bore probabilistic analysis.