A support vector machine integrated system for the classification of operation anomalies in nuclear components and systems

Reliability Engineering and System Safety

Volumn 92, Issue 5, 2007, Pages 593-600

  Rocco S , Claudio M ^a   Zio, Enrico ^b  

^a UNIVERSIDAD CENTRAL DE VENEZUELA   (Venezuela)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Fault detection and identification; Nuclear transients; Support vector machine

Indexed keywords

BOILING WATER REACTORS; LEARNING ALGORITHMS; NUCLEAR POWER PLANTS; PATTERN RECOGNITION; TRANSIENTS;

FEEDWATER SYSTEMS; HIERARCHICAL STRUCTURE; NUCLEAR TRANSIENTS; SUPPORT VECTOR MACHINES (SVM);

LEARNING SYSTEMS;

EID: 33846227548     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2006.02.003     Document Type: Article

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