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http://dx.doi.org/10.5516/NET.2007.39.2.133

VALIDATION OF ON-LINE MONITORING TECHNIQUES TO NUCLEAR PLANT DATA  

Garvey, Jamie (Nuclear Engineering Department, The University of Tennessee)
Garvey, Dustin (Nuclear Engineering Department, The University of Tennessee)
Seibert, Rebecca (Nuclear Engineering Department, The University of Tennessee)
Hines, J. Wesley (Nuclear Engineering Department, The University of Tennessee)
Publication Information
Nuclear Engineering and Technology / v.39, no.2, 2007 , pp. 133-142 More about this Journal
Abstract
The Electric Power Research Institute (EPRI) demonstrated a method for monitoring the performance of instrument channels in Topical Report (TR) 104965, 'On-Line Monitoring of Instrument Channel Performance.' This paper presents the results of several models originally developed by EPRI to monitor three nuclear plant sensor sets: Pressurizer Level, Reactor Protection System (RPS) Loop A, and Reactor Coolant System (RCS) Loop A Steam Generator (SG) Level. The sensor sets investigated include one redundant sensor model and two non-redundant sensor models. Each model employs an Auto-Associative Kernel Regression (AAKR) model architecture to predict correct sensor behavior. Performance of each of the developed models is evaluated using four metrics: accuracy, auto-sensitivity, cross-sensitivity, and newly developed Error Uncertainty Limit Monitoring (EULM) detectability. The uncertainty estimate for each model is also calculated through two methods: analytic formulas and Monte Carlo estimation. The uncertainty estimates are verified by calculating confidence interval coverages to assure that 95% of the measured data fall within the confidence intervals. The model performance evaluation identified the Pressurizer Level model as acceptable for on-line monitoring (OLM) implementation. The other two models, RPS Loop A and RCS Loop A SG Level, highlight two common problems that occur in model development and evaluation, namely faulty data and poor signal selection
Keywords
Monitoring; Sensor Calibration; Diagnostics; Empirical Modeling;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 0  (Related Records In Web of Science)
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