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http://www.repositorio.ufop.br/jspui/handle/123456789/9117
Título: | Discontinuity detection in the shield metal arc welding process. |
Autor(es): | Cocota Júnior, José Alberto Naves Garcia, Gabriel Carvalho Costa, Adilson Rodrigues da Lima, Milton Sérgio Fernandes de Rocha, Filipe Augusto Santos Freitas, Gustavo Medeiros |
Palavras-chave: | Support vector machine Artificial neural network Shielded metal arc welding |
Data do documento: | 2017 |
Referência: | COCOTA JÚNIOR, J. A. N. et al. Discontinuity detection in the shield metal arc welding process. Sensors, v. 17, p. 1082, 2017. Disponível em: <http://www.mdpi.com/1424-8220/17/5/1082>. Acesso em: 29 set. 2017. |
Resumo: | This work proposes a new methodology for the detection of discontinuities in the weld bead applied in Shielded Metal ArcWelding (SMAW) processes. The detection system is based on two sensors—a microphone and piezoelectric—that acquire acoustic emissions generated during the welding. The feature vectors extracted from the sensor dataset are used to construct classifier models. The approaches based on Artificial Neural Network (ANN) and Support Vector Machine (SVM) classifiers are able to identify with a high accuracy the three proposed weld bead classes: desirable weld bead, shrinkage cavity and burn through discontinuities. Experimental results illustrate the system’s high accuracy, greater than 90% for each class. A novel Hierarchical Support Vector Machine (HSVM) structure is proposed to make feasible the use of this system in industrial environments. This approach presented 96.6% overall accuracy. Given the simplicity of the equipment involved, this system can be applied in the metal transformation industries. |
URI: | http://www.repositorio.ufop.br/handle/123456789/9117 |
DOI: | https://doi.org/10.3390/s17051082 |
ISSN: | 1424-8220 |
Licença: | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Fonte: o próprio artigo. |
Aparece nas coleções: | DEMET - Artigos publicados em periódicos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_DiscontinuityDetectionShield.pdf | 6,07 MB | Adobe PDF | Visualizar/Abrir |
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