Please use this identifier to cite or link to this item: http://carpedien.ien.gov.br:8080/handle/ien/2642
Tipo: article
Título: The use of fuzzy logic methodology to establish inservice inspection priorities for nuclear components
Autor(es): Guimarães, Antonio Cesar Ferreira
Resumo: This work describes the use of fuzzy logic methodology to estimate inservice inspection (ISI) priorities for nuclear components with Adaptive Neural Fuzzy Inference system (ANFIS). To estimate ISI priorities for components the methodology uses probabilities of component failures and the core damage frequency of each component failure. The specific systems addressed in this work are the auxiliary feedwater, low-pressure injection, and reactor coolant systems selected from the Surry Nuclear Power Station Unit 1 (Surry-1). For illustration some examples were developed and their results, when compared with reference work lead to important conclusions.
Palavras-chave: Risk-Informed
PRA
Priorities
Fuzzy Logic
ANFIS
Idioma: eng
País: Estados unidos
Editor: Instituto de Engenharia Nuclear
Sigla da Instituição: IEN
Tipo de Acesso: embargoedAccess
URI: http://carpedien.ien.gov.br:8080/handle/ien/2642
Data do documento: 2003
Appears in Collections:Engenharia e Segurança de Reatores Nucleares - Artigos de Periódicos

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