| Autor: |
Jose M. Lopez- Higuera, Adolfo Cobo, Olga M. Conde, Jesus Mirapeix, P. Beatriz Garcia-Allende |
| Jazyk: |
angličtina |
| Rok vydání: |
2008 |
| Předmět: |
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| Zdroj: |
Sensors, Vol 8, Iss 10, Pp 6496-6506 (2008) |
| Druh dokumentu: |
article |
| ISSN: |
1424-8220 |
| DOI: |
10.3390/s8106496 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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