Development of a Pattern Recognition Methodology for Determining Operationally Optimal Heat Balance Instrumentation Calibration Schedules

Beran, Kurt ; Christenson, John ; Nica, Dragos ; Gross, Kenny

University of Cincinnati (United States)

关键词: Calibration;    Pattern Recognition;    Sensitivity;    22 General Studies Of Nuclear Reactors;    Schedules;   

DOI  :  10.2172/806854
RP-ID  :  DOE/ID/13783
RP-ID  :  FG07-99ID13783
RP-ID  :  806854

美国|英语

来源: UNT Digital Library

【 摘 要 】

The goal of the project is to enable plant operators to detect with high sensitivity and reliability the onset of decalibration drifts in all of the instrumentation used as input to the reactor heat balance calculations. To achieve this objective, the collaborators developed and implemented at DBNPS an extension of the Multivariate State Estimation Technique (MSET) pattern recognition methodology pioneered by ANAL. The extension was implemented during the second phase of the project and fully achieved the project goal.