Arc-welding quality assurance by means of embedded fiber sensor and spectral processing combining feature selection and neural networks
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AuthorMirapeix Serrano, Jesús María; García Allende, Pilar Beatriz; Cobo García, Adolfo; Conde Portilla, Olga María; López Higuera, José Miguel
© 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Proceedings of SPIE, 2007, vol. 6619, 66193P
Third European Workshop on Optical Fibre Sensors, Nápoles, 2007
SPIE Society of Photo-Optical Instrumentation Engineers
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A new spectral processing technique designed for its application in the on-line detection and classification of arc-welding defects is presented in this paper. A non-invasive fiber sensor embedded within a TIG torch collects the plasma radiation originated during the welding process. The spectral information is then processed by means of 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 a previous paper, giving rise to an improvement in the performance of the monitoring system.
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