Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network

Detalhes bibliográficos
Autor(a) principal: MESQUITA, R.N.
Data de Publicação: 2014
Outros Autores: CABRAL, E.L.L., UPADHYAYA, B.R., MAINTENANCE AND RELIABILITY CONFERENCE
Tipo de documento: Artigo de conferência
Título da fonte: Repositório Institucional do IPEN
Texto Completo: http://repositorio.ipen.br/handle/123456789/15287
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spelling 2014-11-17T17:52:21Z2014-11-18T18:06:19Z2015-04-02T05:13:25Z2014-11-17T17:52:21Z2014-11-18T18:06:19Z2015-04-02T05:13:25ZMay 6-9, 2001http://repositorio.ipen.br/handle/123456789/15287Made available in DSpace on 2014-11-17T17:52:21Z (GMT). No. of bitstreams: 0Made available in DSpace on 2014-11-18T18:06:19Z (GMT). No. of bitstreams: 0Made available in DSpace on 2015-04-02T05:13:25Z (GMT). No. of bitstreams: 0steam generatorseddy current testingtubesdefectsalgorithmsdata analysisautomationClassification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural networkinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectMARCON,2001IGatlinburg, TN, USAMESQUITA, R.N.CABRAL, E.L.L.UPADHYAYA, B.R.MAINTENANCE AND RELIABILITY CONFERENCEinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do IPENinstname:Instituto de Pesquisas Energéticas e Nucleares (IPEN)instacron:IPEN076392001MESQUITA, R.N.CABRAL, E.L.L.02-041375496-1MESQUITA, R.N.:1375:21:SCABRAL, E.L.L.:496:-1:NUPADHYAYA, B.R.:-1:-1:NORIGINAL076390001.pdf076390001.pdfapplication/pdf4526919http://repositorio.ipen.br/bitstream/123456789/15287/1/076390001.pdf55a9822394ec149d08c255a4768a7093MD51123456789/152872015-08-06 17:10:00.884oai:repositorio.ipen.br:123456789/15287Repositório InstitucionalPUBhttp://repositorio.ipen.br/oai/requestbibl@ipen.bropendoar:45102015-08-06T17:10Repositório Institucional do IPEN - Instituto de Pesquisas Energéticas e Nucleares (IPEN)false
dc.title.pt_BR.fl_str_mv Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
title Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
spellingShingle Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
MESQUITA, R.N.
steam generators
eddy current testing
tubes
defects
algorithms
data analysis
automation
title_short Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
title_full Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
title_fullStr Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
title_full_unstemmed Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
title_sort Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network
author MESQUITA, R.N.
author_facet MESQUITA, R.N.
CABRAL, E.L.L.
UPADHYAYA, B.R.
MAINTENANCE AND RELIABILITY CONFERENCE
author_role author
author2 CABRAL, E.L.L.
UPADHYAYA, B.R.
MAINTENANCE AND RELIABILITY CONFERENCE
author2_role author
author
author
dc.contributor.author.fl_str_mv MESQUITA, R.N.
CABRAL, E.L.L.
UPADHYAYA, B.R.
MAINTENANCE AND RELIABILITY CONFERENCE
dc.subject.por.fl_str_mv steam generators
eddy current testing
tubes
defects
algorithms
data analysis
automation
topic steam generators
eddy current testing
tubes
defects
algorithms
data analysis
automation
publishDate 2014
dc.date.evento.pt_BR.fl_str_mv May 6-9, 2001
dc.date.accessioned.fl_str_mv 2014-11-17T17:52:21Z
2014-11-18T18:06:19Z
2015-04-02T05:13:25Z
dc.date.available.fl_str_mv 2014-11-17T17:52:21Z
2014-11-18T18:06:19Z
2015-04-02T05:13:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://repositorio.ipen.br/handle/123456789/15287
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instacron_str IPEN
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reponame_str Repositório Institucional do IPEN
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repository.mail.fl_str_mv bibl@ipen.br
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