DocumentCode :
958401
Title :
Automated long-term surveillance of a commercial nuclear power plant
Author :
Smith, C.M. ; Gonzalez, R.C.
Author_Institution :
Oak Ridge Nat. Lab., TN, USA
Volume :
35
Issue :
1
fYear :
1988
Firstpage :
966
Lastpage :
980
Abstract :
A pattern-recognition system is described for monitoring nuclear reactor signals. The system is based on detecting deviations from baseline signatures identified during normal plant operation. The capabilities and limitations of this pattern recognition approach were investigated during a 2-1/2-year series of continuous online experiments at the Sequoyah-1 Nuclear Power Plant. The principal purpose of these experiments were (1) to investigate the data-reduction aspects of the system in the sense that it stored only those signals flagged as being different from their corresponding baseline signatures; (2) to evaluate system behavior over a long period of operation; and (3) to determine the applicability of the discriminants to various types of signals commonly monitored in a nuclear plant.<>
Keywords :
computerised monitoring; computerised pattern recognition; fission reactor safety; nuclear engineering computing; nuclear power stations; Sequoyah-1 Nuclear Power Plant; automated long term surveillance; data-reduction; nuclear power plant; pattern-recognition system; Computerized monitoring; Costs; Fission reactors; Laboratories; Nuclear facility regulation; Nuclear power generation; Pattern analysis; Pattern recognition; Power generation; Surveillance;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.12868
Filename :
12868
Link To Document :
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