DocumentCode :
3019941
Title :
A system for unattended surveillance of nuclear reactor behavior
Author :
Gonzalez, R.C. ; Howington, L.C.
Author_Institution :
University of Tennessee, Knoxville, TN
fYear :
1977
fDate :
7-9 Dec. 1977
Firstpage :
861
Lastpage :
867
Abstract :
A multivariate statistical pattern recognition system for reactor noise analysis is presented. The basis of the system is a transformation for decoupling correlated variables and algorithms for inferring probability density functions. The system is adaptable to a variety of statistical properties of the data, and it has learning, tracking, updating, and dimensionality reduction capabilities. System design emphasizes control of the false-alarm rate. Its abilities to learn normal patterns and to recognize deviations from these patterns were evaluated by experiments at the ORNL High-Flux Isotope Reactor. Power perturbations of less than 0.1% of the mean value in selected frequency ranges were readily detected by the pattern recognition system.
Keywords :
Algorithm design and analysis; Control systems; Frequency; Inductors; Isotopes; Laboratories; Nuclear facility regulation; Pattern recognition; Reactor instrumentation; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location :
New Orleans, LA, USA
Type :
conf
DOI :
10.1109/CDC.1977.271690
Filename :
4045960
Link To Document :
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