Sensors 2008, 8(10), 6496-6506; doi:10.3390/s8106496
Article

Arc-Welding Spectroscopic Monitoring based on Feature Selection and Neural Networks

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Received: 9 October 2008; in revised form: 17 October 2008 / Accepted: 21 October 2008 / Published: 21 October 2008
(This article belongs to the Special Issue Neural Networks and Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: A new spectral processing technique designed for application in the on-line detection and classification of arc-welding defects is presented in this paper. A noninvasive fiber sensor embedded within a TIG torch collects the plasma radiation originated during the welding process. The spectral information is then processed in two consecutive stages. A compression algorithm is first applied to the data, allowing real-time analysis. The selected spectral bands are then used to feed a classification algorithm, which will be demonstrated to provide an efficient weld defect detection and classification. The results obtained with the proposed technique are compared to a similar processing scheme presented in previous works, giving rise to an improvement in the performance of the monitoring system.
Keywords: Arc-welding; fiber sensor; spectral processing; plasma spectroscopy; on-line monitoring
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MDPI and ACS Style

Garcia-Allende, P.B.; Mirapeix, J.; Conde, O.M.; Cobo, A.; Lopez- Higuera, J.M. Arc-Welding Spectroscopic Monitoring based on Feature Selection and Neural Networks. Sensors 2008, 8, 6496-6506.

AMA Style

Garcia-Allende PB, Mirapeix J, Conde OM, Cobo A, Lopez- Higuera JM. Arc-Welding Spectroscopic Monitoring based on Feature Selection and Neural Networks. Sensors. 2008; 8(10):6496-6506.

Chicago/Turabian Style

Garcia-Allende, P. B.; Mirapeix, Jesus; Conde, Olga M.; Cobo, Adolfo; Lopez- Higuera, Jose M. 2008. "Arc-Welding Spectroscopic Monitoring based on Feature Selection and Neural Networks." Sensors 8, no. 10: 6496-6506.

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