论文信息 - Parameters Estimation in Modelling of Gas-Gap in RBMK Type Reactor Using Bayesian Approach

Parameters Estimation in Modelling of Gas-Gap in RBMK Type Reactor Using Bayesian Approach

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.

Juozas Augutis | Laimutis Telksnys | Inga Zutautaite-Seputiene

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