RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional do IEN |
Texto Completo: | http://carpedien.ien.gov.br:8080/handle/ien/2157 |
Resumo: | This paper aims to present a study of the reliability of the Auxiliary Feed-water System (AFWS) through the methods of Fault Tree and Bayesian Network. Therefore, the paper consists of a literature review of the history of nuclear energy and the methodologies used. The AFWS is responsible for providing water system to cool the secondary circuit of nuclear reactors of the PWR type when normal feeding water system failure. How this system operates only when the primary system fails, it is expected that the AFWS failure probability is very low. The AFWS failure probability is divided into two cases: the first is the probability of failure in the first eight hours of operation and the second is the probability of failure after eight hours of operation, considering that the system has not failed within the first eight hours. The calculation of the probability of failure of the second case was made through the use of Fault Tree and Bayesian Network, that it was constructed from the Fault Tree. The results of the failure probability obtained were very close, on the order of 10-3. |
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LAVA, Deise DianaBORGES, Diogo da SilvaGUIMARÃES, Antonio Cesar FerreiraMOREIRA, Maria de LourdesInstituto de Engenharia Nuclear (IEN)Instituto de Engenharia Nuclear (IEN)Instituto de Engenharia Nuclear (IEN)Instituto de Engenharia Nuclear (IEN)2018-02-08T16:33:47Z2018-02-08T16:33:47Z2017-10http://carpedien.ien.gov.br:8080/handle/ien/2157Submitted by Vanessa Silva (vanessacapucho.uerj@gmail.com) on 2018-02-08T16:33:47Z No. of bitstreams: 1 ARTIGO INAC 13.pdf: 887544 bytes, checksum: ba98a9fdd6daa9bea6cb66509a7c5404 (MD5)Made available in DSpace on 2018-02-08T16:33:47Z (GMT). No. of bitstreams: 1 ARTIGO INAC 13.pdf: 887544 bytes, checksum: ba98a9fdd6daa9bea6cb66509a7c5404 (MD5) Previous issue date: 2017-10This paper aims to present a study of the reliability of the Auxiliary Feed-water System (AFWS) through the methods of Fault Tree and Bayesian Network. Therefore, the paper consists of a literature review of the history of nuclear energy and the methodologies used. The AFWS is responsible for providing water system to cool the secondary circuit of nuclear reactors of the PWR type when normal feeding water system failure. How this system operates only when the primary system fails, it is expected that the AFWS failure probability is very low. The AFWS failure probability is divided into two cases: the first is the probability of failure in the first eight hours of operation and the second is the probability of failure after eight hours of operation, considering that the system has not failed within the first eight hours. The calculation of the probability of failure of the second case was made through the use of Fault Tree and Bayesian Network, that it was constructed from the Fault Tree. The results of the failure probability obtained were very close, on the order of 10-3.engInstituto de Engenharia NuclearIENBrasilBAYESIAN NETWORKRELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORKinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject2017info:eu-repo/semantics/openAccessreponame:Repositório Institucional do IENinstname:Instituto de Engenharia Nuclearinstacron:IENLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/2157/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALARTIGO INAC 13.pdfARTIGO INAC 13.pdfapplication/pdf887544http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/2157/1/ARTIGO+INAC+13.pdfba98a9fdd6daa9bea6cb66509a7c5404MD51ien/2157oai:carpedien.ien.gov.br:ien/21572018-02-08 14:33:47.176Dspace IENlsales@ien.gov.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 |
dc.title.pt_BR.fl_str_mv |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
title |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
spellingShingle |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK LAVA, Deise Diana BAYESIAN NETWORK |
title_short |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
title_full |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
title_fullStr |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
title_full_unstemmed |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
title_sort |
RELIABILITY STUDY OF THE AUXILIARY FEED-WATER SYSTEM OF A PRESSURIZED WATER REACTOR BY FAULTS TREE AND BAYESIAN NETWORK |
author |
LAVA, Deise Diana |
author_facet |
LAVA, Deise Diana BORGES, Diogo da Silva GUIMARÃES, Antonio Cesar Ferreira MOREIRA, Maria de Lourdes Instituto de Engenharia Nuclear (IEN) |
author_role |
author |
author2 |
BORGES, Diogo da Silva GUIMARÃES, Antonio Cesar Ferreira MOREIRA, Maria de Lourdes Instituto de Engenharia Nuclear (IEN) |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
LAVA, Deise Diana BORGES, Diogo da Silva GUIMARÃES, Antonio Cesar Ferreira MOREIRA, Maria de Lourdes Instituto de Engenharia Nuclear (IEN) Instituto de Engenharia Nuclear (IEN) Instituto de Engenharia Nuclear (IEN) Instituto de Engenharia Nuclear (IEN) |
dc.subject.por.fl_str_mv |
BAYESIAN NETWORK |
topic |
BAYESIAN NETWORK |
dc.description.abstract.por.fl_txt_mv |
This paper aims to present a study of the reliability of the Auxiliary Feed-water System (AFWS) through the methods of Fault Tree and Bayesian Network. Therefore, the paper consists of a literature review of the history of nuclear energy and the methodologies used. The AFWS is responsible for providing water system to cool the secondary circuit of nuclear reactors of the PWR type when normal feeding water system failure. How this system operates only when the primary system fails, it is expected that the AFWS failure probability is very low. The AFWS failure probability is divided into two cases: the first is the probability of failure in the first eight hours of operation and the second is the probability of failure after eight hours of operation, considering that the system has not failed within the first eight hours. The calculation of the probability of failure of the second case was made through the use of Fault Tree and Bayesian Network, that it was constructed from the Fault Tree. The results of the failure probability obtained were very close, on the order of 10-3. |
description |
This paper aims to present a study of the reliability of the Auxiliary Feed-water System (AFWS) through the methods of Fault Tree and Bayesian Network. Therefore, the paper consists of a literature review of the history of nuclear energy and the methodologies used. The AFWS is responsible for providing water system to cool the secondary circuit of nuclear reactors of the PWR type when normal feeding water system failure. How this system operates only when the primary system fails, it is expected that the AFWS failure probability is very low. The AFWS failure probability is divided into two cases: the first is the probability of failure in the first eight hours of operation and the second is the probability of failure after eight hours of operation, considering that the system has not failed within the first eight hours. The calculation of the probability of failure of the second case was made through the use of Fault Tree and Bayesian Network, that it was constructed from the Fault Tree. The results of the failure probability obtained were very close, on the order of 10-3. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017-10 |
dc.date.accessioned.fl_str_mv |
2018-02-08T16:33:47Z |
dc.date.available.fl_str_mv |
2018-02-08T16:33:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
status_str |
publishedVersion |
format |
conferenceObject |
dc.identifier.uri.fl_str_mv |
http://carpedien.ien.gov.br:8080/handle/ien/2157 |
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http://carpedien.ien.gov.br:8080/handle/ien/2157 |
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eng |
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eng |
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Instituto de Engenharia Nuclear |
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IEN |
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Brasil |
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Instituto de Engenharia Nuclear |
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