Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFS |
Texto Completo: | http://ri.ufs.br/jspui/handle/riufs/10995 |
Resumo: | This master thesis presents the development of an algorithm capable of detecting defects in materials, based on the technique of reconstruction of thermographic signals and the physical principles of heat transfer. As an experimental basis, tests performed and assigned by the Non-Destructive Testing, Corrosion and Welding Laboratory (LNDC) of UFRJ were used. Experimentally, a short thermal pulse is used and the surface temperature of the object is monitored over time through a thermographic camera. Due to the volume of data, the Ąrst step of the algorithm is data compression. Newton’s law of cooling was used as the basis of the phenomenon and a compression ratio of 99 % was obtained. The main contributions of the developed algorithm are: data compression and treatment of the heating data (which are neglected by the other techniques); use of the concept of change in the direction of the heat Ćow to delimit the edges of the regions of interest (Where the defects are probably located); edge detection/interface between the object and the image background; consolidation in a single image by aggregating the indicators referring to the concept of cooling/heating time constant, maximum temperature of each pixel and maximum contrast. Finally, as a result, a single image with all this information is presented, reducing the subjectivity of the operator and improving the effectiveness of this thermographic technique. |
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Silva, Wellington Francisco daRiffel, Douglas Bressan2019-04-17T18:05:48Z2019-04-17T18:05:48Z2019-01-30SILVA, Wellington Francisco da. Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada. 2019. 145 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Sergipe, São Cristóvão, SE, 2019.http://ri.ufs.br/jspui/handle/riufs/10995This master thesis presents the development of an algorithm capable of detecting defects in materials, based on the technique of reconstruction of thermographic signals and the physical principles of heat transfer. As an experimental basis, tests performed and assigned by the Non-Destructive Testing, Corrosion and Welding Laboratory (LNDC) of UFRJ were used. Experimentally, a short thermal pulse is used and the surface temperature of the object is monitored over time through a thermographic camera. Due to the volume of data, the Ąrst step of the algorithm is data compression. Newton’s law of cooling was used as the basis of the phenomenon and a compression ratio of 99 % was obtained. The main contributions of the developed algorithm are: data compression and treatment of the heating data (which are neglected by the other techniques); use of the concept of change in the direction of the heat Ćow to delimit the edges of the regions of interest (Where the defects are probably located); edge detection/interface between the object and the image background; consolidation in a single image by aggregating the indicators referring to the concept of cooling/heating time constant, maximum temperature of each pixel and maximum contrast. Finally, as a result, a single image with all this information is presented, reducing the subjectivity of the operator and improving the effectiveness of this thermographic technique.Esta dissertação de mestrado apresenta o desenvolvimento de um algoritmo capaz de detectar regiões defeituosas em materiais utilizando como base a técnica de reconstrução de sinais termográĄcos e os princípios físicos de transferência de calor. Como base experimental, utilizou-se ensaios realizados e cedidos pelo Laboratório de Ensaio Não Destrutivo, Corrosão e Soldagem (LNDC) da UFRJ. Experimentalmente, utiliza-se um curto pulso térmico e monitora-se a temperatura da superfície do objeto ao longo do tempo através de uma câmera termográĄca. Devido ao volume de dados, a primeira etapa do algoritmo é a compactação. Utilizou-se como base do fenômeno a lei de resfriamento de Newton e obteve-se uma taxa de compactação de 99%. As principais contribuições do algoritmo desenvolvido são: compactação e tratamento dos dados de aquecimento (que são negligenciados pelas outras técnicas); utilização do conceito de mudança no sentido do Ćuxo de calor para delimitar as bordas das regiões de interesse (onde provavelmente estão os defeitos); detecção das bordas/interface entre o objeto e o fundo da imagem; consolidação em uma única imagem, agregando os indicadores referentes ao conceito de constante de tempo de resfriamento/aquecimento, de máxima temperatura de cada pixel e do contraste máximo. Finalmente, como resultado, apresenta-se uma única imagem com todas essas informações, diminuindo a subjetividade do operador e auxiliando na eĄcácia dessa técnica termográĄca.São Cristóvão, SEporEngenharia elétricaAlgoritmos computacionaisCalorProcessamento de imagensTermografia ativaContraste máximoConstante tempoCompactaçãoMáximos temperaturaActive thermographyMaximum contrastTime constantData compressionMaximum temperatureENGENHARIAS::ENGENHARIA ELETRICADesenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsadaDevelopment of an algorithm for processing radiometric data obtained by pulsed active thermographyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPós-Graduação em Engenharia ElétricaUFSreponame:Repositório Institucional da UFSinstname:Universidade Federal de Sergipe (UFS)instacron:UFSinfo:eu-repo/semantics/openAccessTEXTWELLINGTON_FRANCISCO_SILVA.pdf.txtWELLINGTON_FRANCISCO_SILVA.pdf.txtExtracted texttext/plain207182https://ri.ufs.br/jspui/bitstream/riufs/10995/3/WELLINGTON_FRANCISCO_SILVA.pdf.txt4f403ab142fde423308af2ffdec6668eMD53THUMBNAILWELLINGTON_FRANCISCO_SILVA.pdf.jpgWELLINGTON_FRANCISCO_SILVA.pdf.jpgGenerated Thumbnailimage/jpeg1310https://ri.ufs.br/jspui/bitstream/riufs/10995/4/WELLINGTON_FRANCISCO_SILVA.pdf.jpg4e8e1b363b48e952bc62efb3ecc97b11MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81475https://ri.ufs.br/jspui/bitstream/riufs/10995/1/license.txt098cbbf65c2c15e1fb2e49c5d306a44cMD51ORIGINALWELLINGTON_FRANCISCO_SILVA.pdfWELLINGTON_FRANCISCO_SILVA.pdfapplication/pdf15952231https://ri.ufs.br/jspui/bitstream/riufs/10995/2/WELLINGTON_FRANCISCO_SILVA.pdff1c43dd2070654c6ae96349188d39304MD52riufs/109952019-04-17 15:05:48.862oai:ufs.br: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Repositório InstitucionalPUBhttps://ri.ufs.br/oai/requestrepositorio@academico.ufs.bropendoar:2019-04-17T18:05:48Repositório Institucional da UFS - Universidade Federal de Sergipe (UFS)false |
dc.title.pt_BR.fl_str_mv |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
dc.title.alternative.eng.fl_str_mv |
Development of an algorithm for processing radiometric data obtained by pulsed active thermography |
title |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
spellingShingle |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada Silva, Wellington Francisco da Engenharia elétrica Algoritmos computacionais Calor Processamento de imagens Termografia ativa Contraste máximo Constante tempo Compactação Máximos temperatura Active thermography Maximum contrast Time constant Data compression Maximum temperature ENGENHARIAS::ENGENHARIA ELETRICA |
title_short |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
title_full |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
title_fullStr |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
title_full_unstemmed |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
title_sort |
Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada |
author |
Silva, Wellington Francisco da |
author_facet |
Silva, Wellington Francisco da |
author_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Wellington Francisco da |
dc.contributor.advisor1.fl_str_mv |
Riffel, Douglas Bressan |
contributor_str_mv |
Riffel, Douglas Bressan |
dc.subject.por.fl_str_mv |
Engenharia elétrica Algoritmos computacionais Calor Processamento de imagens Termografia ativa Contraste máximo Constante tempo Compactação Máximos temperatura |
topic |
Engenharia elétrica Algoritmos computacionais Calor Processamento de imagens Termografia ativa Contraste máximo Constante tempo Compactação Máximos temperatura Active thermography Maximum contrast Time constant Data compression Maximum temperature ENGENHARIAS::ENGENHARIA ELETRICA |
dc.subject.eng.fl_str_mv |
Active thermography Maximum contrast Time constant Data compression Maximum temperature |
dc.subject.cnpq.fl_str_mv |
ENGENHARIAS::ENGENHARIA ELETRICA |
description |
This master thesis presents the development of an algorithm capable of detecting defects in materials, based on the technique of reconstruction of thermographic signals and the physical principles of heat transfer. As an experimental basis, tests performed and assigned by the Non-Destructive Testing, Corrosion and Welding Laboratory (LNDC) of UFRJ were used. Experimentally, a short thermal pulse is used and the surface temperature of the object is monitored over time through a thermographic camera. Due to the volume of data, the Ąrst step of the algorithm is data compression. Newton’s law of cooling was used as the basis of the phenomenon and a compression ratio of 99 % was obtained. The main contributions of the developed algorithm are: data compression and treatment of the heating data (which are neglected by the other techniques); use of the concept of change in the direction of the heat Ćow to delimit the edges of the regions of interest (Where the defects are probably located); edge detection/interface between the object and the image background; consolidation in a single image by aggregating the indicators referring to the concept of cooling/heating time constant, maximum temperature of each pixel and maximum contrast. Finally, as a result, a single image with all this information is presented, reducing the subjectivity of the operator and improving the effectiveness of this thermographic technique. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-04-17T18:05:48Z |
dc.date.available.fl_str_mv |
2019-04-17T18:05:48Z |
dc.date.issued.fl_str_mv |
2019-01-30 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SILVA, Wellington Francisco da. Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada. 2019. 145 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Sergipe, São Cristóvão, SE, 2019. |
dc.identifier.uri.fl_str_mv |
http://ri.ufs.br/jspui/handle/riufs/10995 |
identifier_str_mv |
SILVA, Wellington Francisco da. Desenvolvimento de um algoritmo de processamento de dados radiométricos obtidos por termografia ativa pulsada. 2019. 145 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Sergipe, São Cristóvão, SE, 2019. |
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http://ri.ufs.br/jspui/handle/riufs/10995 |
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por |
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openAccess |
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Pós-Graduação em Engenharia Elétrica |
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UFS |
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