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Proceedings Paper

Arc-welding quality assurance by means of embedded fiber sensor and spectral processing combining feature selection and neural networks
Author(s): J. Mirapeix; P. B. García-Allende; A. Cobo; O. Conde; J. M. López-Higuera
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Paper Abstract

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.

Paper Details

Date Published: 2 July 2007
PDF: 4 pages
Proc. SPIE 6619, Third European Workshop on Optical Fibre Sensors, 66193P (2 July 2007); doi: 10.1117/12.738765
Show Author Affiliations
J. Mirapeix, Univ. of Cantabria (Spain)
P. B. García-Allende, Univ. of Cantabria (Spain)
A. Cobo, Univ. of Cantabria (Spain)
O. Conde, Univ. of Cantabria (Spain)
J. M. López-Higuera, Univ. of Cantabria (Spain)

Published in SPIE Proceedings Vol. 6619:
Third European Workshop on Optical Fibre Sensors
Antonello Cutolo; Brian Culshaw; José Miguel López-Higuera, Editor(s)

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