Assessment of linear and non-linear autoregressive methods for BWR stability monitoring

被引：4

作者：

Manera, A ^{[1
]}

Zboray, R ^{[1
]}

van der Hagen, THJJ ^{[1
]}

机构：

[1] Delft Univ Technol, Interfac Reactor Inst, NL-2629 JB Delft, Netherlands

来源：

PROGRESS IN NUCLEAR ENERGY | 2003年 / 43卷 / 1-4期

关键词：

Autoregressive (AR) modelling; Exponential AR model; boiling water reactor (BWR); decay ratio (DR); stability monitoring; power oscillations;

D O I：

10.1016/S0149-1970(03)00005-2

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：

A benchmark has been performed to compare the performances of exponential autoregressive (ExpAR) models against linear autoregressive (AR) models With respect to boiling water reactor stability monitoring. The well-known March-Leuba reduced-order model is used to generate the time-series to be analysed, since this model is able to reproduce the most significant non-linear behaviour of boiling water reactors (i.e. converging, diverging and limit-cycle oscillations). In this way the stability characteristics of the signals to be analysed are known a priori. An application to experimental time-traces measured on a thermal hydraulic natural circulation loop is reported as well. All methods perform equally well in determining the stability characteristics of the analysed signals. (C) 2003 Elsevier Science Ltd. All rights reserved.

引用

页码：321 / 327

页数：7

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