Monitoring minimum DNBR using a support vector regression model

IEEE Transactions on Nuclear Science

Volumn 56, Issue 1, 2009, Pages 286-293

  Lim, Dong Hyuk ^a   Yang, Heon Young ^a   Na, Man Gyun ^a  

^a Chosun University   (South Korea)

Author keywords

Departure from nucleate boiling ratio (DNBR); DNB monitoring; Subtractive clustering (SC); Support vector regression (SVR)

Indexed keywords

ARCHITECTURAL DESIGN; NUCLEAR ENERGY; NUCLEAR INDUSTRY; NUCLEAR POWER PLANTS; PRESSURIZED WATER REACTORS; REGRESSION ANALYSIS; STATISTICAL TESTS; VECTORS;

BOILING CRISIS; DEPARTURE FROM NUCLEATE BOILING; DEPARTURE FROM NUCLEATE BOILING RATIO (DNBR); DNB MONITORING; FILM BOILING; FIRST CYCLES; FUEL CLADDINGS; HEAT TRANSFER CAPABILITIES; MEASURED SIGNALS; NUCLEAR POWER; OPERATION LIMITS; OPERATION MARGINS; PRESSURIZED WATERS; REACTOR COOLANT SYSTEMS; SUBTRACTIVE CLUSTERING (SC); SUPERVISORY SYSTEMS; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION MODELS; TEST DATUM; TRAINING DATA SETS; TRAINING DATUM;

NUCLEATE BOILING;

EID: 60449106909     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2008.2009216     Document Type: Article

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