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

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.