American Nuclear Society

Home / Store / Journals / Electronic Articles / Nuclear Science and Engineering / Volume 73 / Number 3

Parameter Estimation of Liquid-Metal Fast Breeder Reactor Simulation Experiments Using Univariate Autoregressive Integrated Moving Average Modeling

M. I. Pekarsky, C. C. Meek, R. C. Doerner

Nuclear Science and Engineering

Volume 73 / Number 3 / March 1980 / Pages 286-289


Member Price:$27.00
Member Savings:$3.00

A methodology for combining physical considerations with those of autoregressive integrated moving average time series analysis is presented. It is shown that the former can provide identification of the resultant model, while the latter can furnish a means for parameter estimation. Application of the techniques so derived to an analysis of a simulated liquid-metal fast breeder reactor accident experiment demonstrates the method and its usefulness in analyzing transient situations.

Questions or comments about the site? Contact the ANS Webmaster.