Empirical Modeling of Steady-State Behavior of Linear and Nonlinear Systems with Application to Signal Validation: Topical Report

摘要

An automated algorithm for fitting an optimal nonlinear model to predict critical reactor signals has been developed. Additional numerical tests and sensitivity analysis will be performed as part of the continuing work. Numerical studies using plant data from Millstone-3 PWR will be performed in detail. The software is modular in nature and contains good flexibility suitable for numerical studies. The modular architecture of the software allows easy interface with the general signal validation system. (ERA citation 12:047442)