Arc-welding quality assurance by means of embedded fiber sensor and spectral processing combining feature selection and neural networks

J. Mirapeix; P. B. García-Allende; A. Cobo; O. Conde; J. M. López-Higuera

doi:10.1117/12.738765

2 July 2007 Arc-welding quality assurance by means of embedded fiber sensor and spectral processing combining feature selection and neural networks

J. Mirapeix, P. B. García-Allende, A. Cobo, O. Conde, J. M. López-Higuera

Author Affiliations +

Proceedings Volume 6619, Third European Workshop on Optical Fibre Sensors; 66193P (2007) https://doi.org/10.1117/12.738765
Event: Third European Workshop on Optical Fibre Sensors, 2007, Napoli, Italy

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.

Citation Download Citation

J. Mirapeix, P. B. García-Allende, A. Cobo, O. Conde, and J. M. López-Higuera "Arc-welding quality assurance by means of embedded fiber sensor and spectral processing combining feature selection and neural networks", Proc. SPIE 6619, Third European Workshop on Optical Fibre Sensors, 66193P (2 July 2007); https://doi.org/10.1117/12.738765

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