Stochastic modeling of on-line BWR stability

A dynamic data system, a discrete time-series method, has been employed to analyze and estimate the stability characteristics of boiling water reactor dynamics. Twelve sets of pressure-perturbed neutron noise data were analyzed; the results have been compared favorably with those obtained from the conventional transfer function approach. However, the dynamic data system technique appears to be more efficient numerically and also provides a statistically adequate characterization of the prediction uncertainty. The method has also been applied to unperturbed neutron noise operation data, and the stability results have been confirmed with other analyses. A conceptual design of an on-line stability analyzer has been investigated