Quick and reliable estimation of power distribution in a PHWR by ANN

被引：12

作者：

Dubey, BP ^{[1
]}

Jagannathan, V

Kataria, SK

机构：

[1] Bhabha Atom Res Ctr, Reactor Control Div, Bombay 400085, Maharashtra, India

[2] Bhabha Atom Res Ctr, Div Theoret Phys, Bombay 400085, Maharashtra, India

[3] Bhabha Atom Res Ctr, Div Elect, Bombay 400085, Maharashtra, India

来源：

ANNALS OF NUCLEAR ENERGY | 1998年 / 25卷 / 08期

关键词：

D O I：

10.1016/S0306-4549(97)00106-0

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

Knowledge of the distribution of power in all the channels of a Pressurised Heavy Water Reactor (PHWR) as a result of a perturbation caused by one or more of the regulating devices is very important from the operation and maintenance point of view of the reactor. Theoretical design codes available for this purpose take several minutes to calculate the channel power distribution on modern PCs. Artificial Neural networks (ANNs) have been employed in predicting channel power distribution of Indian PHWRs for any given configuration of regulating devices of the reactor. ANNs produce the result much faster and with good accuracy. This paper describes the methodology of ANN, its reliability, the validation range, and scope for its possible on-line use in the actual reactor. (C) 1998 Published by Elsevier Science Ltd.

引用

页码：567 / 579

页数：13

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