Feasibility Study of On-Line Safety Evaluation and Monitoring of Malfunctions of the Nuclear Reactor System by Dynamic Data System.

摘要

This report describes an advanced time series analysis methodology and illustrates its use in application to reactor core barrel dynamics problems. Auto-regressive moving average (ARMA) time series modeling is used. To demonstrate the viability of this data-dependent approach,neutron noise data from two nuclear units were analyzed. The report claims these analyses duplicated classical statistical results,but without complications of variance or bias. The superiorty of the time series method in procuring parameter estimates in a data-efficient manner is also discussed.