Goodness-of-fit applied to crack depth distribution in steam generator tubes

Detalhes bibliográficos
Autor(a) principal: Francisco, Alexandre Santos
Data de Publicação: 2021
Outros Autores: Simões, Tiago
Tipo de documento: Artigo
Idioma: por
Título da fonte: Vetor (Online)
Texto Completo: https://periodicos.furg.br/vetor/article/view/13470
Resumo: Steam generator tubes of nuclear power plants are periodically inspected as a risk and safety management strategy. The goal of this work was to verify the probability distribution model that better fits the crack depth, detected by the periodic inspection in steam generator tubes. For this, Kolmogorov-Smirnov and Anderson-Darling goodness-of-fit tests was applied to crack depth data, checking the normal, lognormal, Weibull, and exponential distribution models. The data sets obtained from inspections performed in two outages at one PWR nuclear power plant. The goodness-of-fit tests allowed to show that the crack depth data are better fitted to the Weibull distribution model.
id FURG-7_ef2ad252b20c033a99bbe636f80d4eea
oai_identifier_str oai:periodicos.furg.br:article/13470
network_acronym_str FURG-7
network_name_str Vetor (Online)
repository_id_str
spelling Goodness-of-fit applied to crack depth distribution in steam generator tubesTestes de aderência aplicados à distribuição da profundidade de trinca em tubos do gerador de vapor de uma planta nuclear PWRSteam generator tubes of nuclear power plants are periodically inspected as a risk and safety management strategy. The goal of this work was to verify the probability distribution model that better fits the crack depth, detected by the periodic inspection in steam generator tubes. For this, Kolmogorov-Smirnov and Anderson-Darling goodness-of-fit tests was applied to crack depth data, checking the normal, lognormal, Weibull, and exponential distribution models. The data sets obtained from inspections performed in two outages at one PWR nuclear power plant. The goodness-of-fit tests allowed to show that the crack depth data are better fitted to the Weibull distribution model.Tubos do gerador de vapor de plantas nucleares são inspecionados periodicamente como uma estratégia de gestão de risco e segurança. O objetivo deste trabalho foi verificar o modelo distribuição de probabilidade que melhor se ajusta à profundidade das trincas detectadas na inspeção periódica em tubos do gerador de vapor. Para tal, aplicaram-se ostestes de aderência de Kolmogorov-Smirnov e de Anderson-Darling aos dados da profundidade de trinca, verificando os modelos de distribuição normal, log-normal, de Weibull, e exponencial. Usaram-se os conjuntos de dados obtidos de inspeções realizadas em duas paradas de uma planta nuclear . Os testes de aderência permitiram mostrar que os dados da profundidade de trinca são melhor ajustados ao modelo de distribuição de Weibull.Universidade Federal do Rio Grande2021-11-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1347010.14295/vetor.v31i1.13470VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 1 (2021); 53-59VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 1 (2021); 53-592358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/13470/9108Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessFrancisco, Alexandre SantosSimões, Tiago2021-11-18T18:06:06Zoai:periodicos.furg.br:article/13470Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2021-11-18T18:06:06Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Goodness-of-fit applied to crack depth distribution in steam generator tubes
Testes de aderência aplicados à distribuição da profundidade de trinca em tubos do gerador de vapor de uma planta nuclear PWR
title Goodness-of-fit applied to crack depth distribution in steam generator tubes
spellingShingle Goodness-of-fit applied to crack depth distribution in steam generator tubes
Francisco, Alexandre Santos
title_short Goodness-of-fit applied to crack depth distribution in steam generator tubes
title_full Goodness-of-fit applied to crack depth distribution in steam generator tubes
title_fullStr Goodness-of-fit applied to crack depth distribution in steam generator tubes
title_full_unstemmed Goodness-of-fit applied to crack depth distribution in steam generator tubes
title_sort Goodness-of-fit applied to crack depth distribution in steam generator tubes
author Francisco, Alexandre Santos
author_facet Francisco, Alexandre Santos
Simões, Tiago
author_role author
author2 Simões, Tiago
author2_role author
dc.contributor.author.fl_str_mv Francisco, Alexandre Santos
Simões, Tiago
description Steam generator tubes of nuclear power plants are periodically inspected as a risk and safety management strategy. The goal of this work was to verify the probability distribution model that better fits the crack depth, detected by the periodic inspection in steam generator tubes. For this, Kolmogorov-Smirnov and Anderson-Darling goodness-of-fit tests was applied to crack depth data, checking the normal, lognormal, Weibull, and exponential distribution models. The data sets obtained from inspections performed in two outages at one PWR nuclear power plant. The goodness-of-fit tests allowed to show that the crack depth data are better fitted to the Weibull distribution model.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.furg.br/vetor/article/view/13470
10.14295/vetor.v31i1.13470
url https://periodicos.furg.br/vetor/article/view/13470
identifier_str_mv 10.14295/vetor.v31i1.13470
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/13470/9108
dc.rights.driver.fl_str_mv Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 1 (2021); 53-59
VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 1 (2021); 53-59
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
_version_ 1797041761817722880

Registros relacionados