A PSO approach for preventive maintenance scheduling optimization

Detalhes bibliográficos
Autor(a) principal: PEREIRA, Cláudio Márcio do Nascimento Abreu
Data de Publicação: 2009
Outros Autores: LAPA, Celso Marcelo Franklin, MÓL, Antônio Carlos de Abreu, LUZ, André Ferreira da, cmnap@ien.gov.br, http://lattes.cnpq.br/2341184189645578, http://lattes.cnpq.br/4963874411976036, http://lattes.cnpq.br/1168989222280325, http://lattes.cnpq.br/2731683186942172
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/1678
Resumo: This work presents a Particle Swarm Optimization (PSO) approach for preventive maintenance policy optimization, focused in reliability and cost. The probabilistic model for reliability and cost evaluation is developed in such a way that flexible intervals between maintenance are allowed. As PSO is skilled for realcoded continuous spaces, a non-conventional codification has been developed in order to allow PSO to solve scheduling problems (which is discrete) with variable number of maintenance interventions. In order to evaluate the proposed methodology, the High Pressure Injection System (HPIS) of a typical 4-loop PWR has been considered. Results demonstrate ability in finding optimal solutions, for which expert knowledge had to be automatically discovered by PSO.
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spelling PEREIRA, Cláudio Márcio do Nascimento AbreuLAPA, Celso Marcelo FranklinMÓL, Antônio Carlos de AbreuLUZ, André Ferreira dacmnap@ien.gov.brhttp://lattes.cnpq.br/2341184189645578http://lattes.cnpq.br/4963874411976036http://lattes.cnpq.br/1168989222280325http://lattes.cnpq.br/27316831869421722016-03-18T13:20:29Z2016-03-18T13:20:29Z2009http://carpedien.ien.gov.br:8080/handle/ien/1678Submitted by Sherillyn Lopes (sherillynmartins@yahoo.com.br) on 2016-03-18T13:20:29Z No. of bitstreams: 1 A PSO APPROACH FOR PREVENTIVE MAINTENANCE.pdf: 76794 bytes, checksum: 8f5d422ce458d8faa394bcd69531ffe8 (MD5)Made available in DSpace on 2016-03-18T13:20:29Z (GMT). No. of bitstreams: 1 A PSO APPROACH FOR PREVENTIVE MAINTENANCE.pdf: 76794 bytes, checksum: 8f5d422ce458d8faa394bcd69531ffe8 (MD5) Previous issue date: 2009This work presents a Particle Swarm Optimization (PSO) approach for preventive maintenance policy optimization, focused in reliability and cost. The probabilistic model for reliability and cost evaluation is developed in such a way that flexible intervals between maintenance are allowed. As PSO is skilled for realcoded continuous spaces, a non-conventional codification has been developed in order to allow PSO to solve scheduling problems (which is discrete) with variable number of maintenance interventions. In order to evaluate the proposed methodology, the High Pressure Injection System (HPIS) of a typical 4-loop PWR has been considered. Results demonstrate ability in finding optimal solutions, for which expert knowledge had to be automatically discovered by PSO.engInstituto de Engenharia NuclearIENBrasilParticle Swarm Optimization (PSO)Maintenance PolicyA PSO approach for preventive maintenance scheduling optimizationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject2009info: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/1678/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALA PSO APPROACH FOR PREVENTIVE MAINTENANCE.pdfA PSO APPROACH FOR PREVENTIVE MAINTENANCE.pdfapplication/pdf76794http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/1678/1/A+PSO+APPROACH+FOR+PREVENTIVE+MAINTENANCE.pdf8f5d422ce458d8faa394bcd69531ffe8MD51ien/1678oai:carpedien.ien.gov.br:ien/16782016-03-18 10:20:29.388Dspace IENlsales@ien.gov.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
dc.title.pt_BR.fl_str_mv A PSO approach for preventive maintenance scheduling optimization
title A PSO approach for preventive maintenance scheduling optimization
spellingShingle A PSO approach for preventive maintenance scheduling optimization
PEREIRA, Cláudio Márcio do Nascimento Abreu
Particle Swarm Optimization (PSO)
Maintenance Policy
title_short A PSO approach for preventive maintenance scheduling optimization
title_full A PSO approach for preventive maintenance scheduling optimization
title_fullStr A PSO approach for preventive maintenance scheduling optimization
title_full_unstemmed A PSO approach for preventive maintenance scheduling optimization
title_sort A PSO approach for preventive maintenance scheduling optimization
author PEREIRA, Cláudio Márcio do Nascimento Abreu
author_facet PEREIRA, Cláudio Márcio do Nascimento Abreu
LAPA, Celso Marcelo Franklin
MÓL, Antônio Carlos de Abreu
LUZ, André Ferreira da
cmnap@ien.gov.br
http://lattes.cnpq.br/2341184189645578
http://lattes.cnpq.br/4963874411976036
http://lattes.cnpq.br/1168989222280325
http://lattes.cnpq.br/2731683186942172
author_role author
author2 LAPA, Celso Marcelo Franklin
MÓL, Antônio Carlos de Abreu
LUZ, André Ferreira da
cmnap@ien.gov.br
http://lattes.cnpq.br/2341184189645578
http://lattes.cnpq.br/4963874411976036
http://lattes.cnpq.br/1168989222280325
http://lattes.cnpq.br/2731683186942172
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv PEREIRA, Cláudio Márcio do Nascimento Abreu
LAPA, Celso Marcelo Franklin
MÓL, Antônio Carlos de Abreu
LUZ, André Ferreira da
cmnap@ien.gov.br
http://lattes.cnpq.br/2341184189645578
http://lattes.cnpq.br/4963874411976036
http://lattes.cnpq.br/1168989222280325
http://lattes.cnpq.br/2731683186942172
dc.subject.por.fl_str_mv Particle Swarm Optimization (PSO)
Maintenance Policy
topic Particle Swarm Optimization (PSO)
Maintenance Policy
dc.description.abstract.por.fl_txt_mv This work presents a Particle Swarm Optimization (PSO) approach for preventive maintenance policy optimization, focused in reliability and cost. The probabilistic model for reliability and cost evaluation is developed in such a way that flexible intervals between maintenance are allowed. As PSO is skilled for realcoded continuous spaces, a non-conventional codification has been developed in order to allow PSO to solve scheduling problems (which is discrete) with variable number of maintenance interventions. In order to evaluate the proposed methodology, the High Pressure Injection System (HPIS) of a typical 4-loop PWR has been considered. Results demonstrate ability in finding optimal solutions, for which expert knowledge had to be automatically discovered by PSO.
description This work presents a Particle Swarm Optimization (PSO) approach for preventive maintenance policy optimization, focused in reliability and cost. The probabilistic model for reliability and cost evaluation is developed in such a way that flexible intervals between maintenance are allowed. As PSO is skilled for realcoded continuous spaces, a non-conventional codification has been developed in order to allow PSO to solve scheduling problems (which is discrete) with variable number of maintenance interventions. In order to evaluate the proposed methodology, the High Pressure Injection System (HPIS) of a typical 4-loop PWR has been considered. Results demonstrate ability in finding optimal solutions, for which expert knowledge had to be automatically discovered by PSO.
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2016-03-18T13:20:29Z
dc.date.available.fl_str_mv 2016-03-18T13:20:29Z
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/1678
url http://carpedien.ien.gov.br:8080/handle/ien/1678
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Instituto de Engenharia Nuclear
dc.publisher.initials.fl_str_mv IEN
dc.publisher.country.fl_str_mv Brasil
publisher.none.fl_str_mv Instituto de Engenharia Nuclear
dc.source.none.fl_str_mv reponame:Repositório Institucional do IEN
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instacron:IEN
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instname_str Instituto de Engenharia Nuclear
instacron_str IEN
institution IEN
bitstream.url.fl_str_mv http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/1678/2/license.txt
http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/1678/1/A+PSO+APPROACH+FOR+PREVENTIVE+MAINTENANCE.pdf
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