A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression

Progress in Nuclear Energy

Volumn 78, Issue , 2015, Pages 141-154

  Baraldi, Piero ^a   Mangili, Francesca ^b   Zio, Enrico ^a,c  

^a POLITECNICO DI MILANO   (Italy)

^b DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^c EDF R AND D   (France)

Author keywords

Bayesian inference; Creep; Filter clogging; Gaussian process regression; Prognostics; Remaining useful life

Indexed keywords

BAYESIAN NETWORKS; BOILING WATER REACTORS; CREEP; GAUSSIAN NOISE (ELECTRONIC); INFERENCE ENGINES; NUCLEAR FUELS; NUCLEAR POWER PLANTS; OUTAGES; SEAWATER; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WATER FILTRATION;

BAYESIAN INFERENCE; FILTER CLOGGING; GAUSSIAN PROCESS REGRESSION; PROGNOSTICS; REMAINING USEFUL LIVES;

GAUSSIAN DISTRIBUTION;

EID: 84907783894     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2014.08.006     Document Type: Article

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