Nuclear power plant components condition monitoring by probabilistic support vector machine

Annals of Nuclear Energy

Volumn 56, Issue , 2013, Pages 23-33

  Liu, Jie ^a,b   Seraoui, Redouane ^c   Vitelli, Valeria ^a,b   Zio, Enrico ^a,b,d  

^a ECOLE CENTRALE PARIS   (France)

^b SUPELEC   (France)

^c EDF R AND D   (France)

^d POLITECNICO DI MILANO   (Italy)

Author keywords

Condition monitoring; Nuclear power plant; Point prediction; Probabilistic support vector machine

Indexed keywords

BAYESIAN; GAUSSIAN PRIORS; MODEL IDENTIFICATION; NPP COMPONENTS; POWER PLANT COMPONENTS; PROCESS PARAMETERS; REAL CASE; SUPPORT VECTOR REGRESSION (SVR);

FORECASTING; NUCLEAR POWER PLANTS; SUPPORT VECTOR MACHINES; UNCERTAINTY ANALYSIS;

CONDITION MONITORING;

EID: 84873648199     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.anucene.2013.01.005     Document Type: Article

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