title: Arc-Welding Spectroscopic Monitoring based on Feature Selection and Neural Networks.
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.
authors.affiliation: Photonics Engineering Group, University of Cantabria, Avda. de los Castros S/N, 39005 Santander, Spain. garciapb@unican.es.
authors.forename: P Beatriz
authors.initials: PB
authors.lastname: Garcia-Allende
authors.affiliation: Photonics Engineering Group, University of Cantabria, Avda. de los Castros S/N, 39005 Santander, Spain. jesus.mirapeix@unican.es.
authors.forename: Jesus
authors.initials: J
authors.lastname: Mirapeix
authors.affiliation: Photonics Engineering Group, University of Cantabria, Avda. de los Castros S/N, 39005 Santander, Spain. olga.conde@unican.es.
authors.forename: Olga M
authors.initials: OM
authors.lastname: Conde
authors.affiliation: Photonics Engineering Group, University of Cantabria, Avda. de los Castros S/N, 39005 Santander, Spain. adolfo.cobo@unican.es.
authors.forename: Adolfo
authors.initials: A
authors.lastname: Cobo
authors.affiliation: Photonics Engineering Group, University of Cantabria, Avda. de los Castros S/N, 39005 Santander, Spain. miguel.lopezhiguera@unican.es.
authors.forename: Jose M
authors.initials: JM
authors.lastname: Lopez-Higuera
keywords: Arc-welding; fiber sensor; on-line monitoring; plasma spectroscopy; spectral processing