Name
Title | ||
|---|---|---|
Methods for a multisensorsystem for in-line process- and quality monitoring of welding seams using fuzzy pattern recognition. |
Abstract | ||
|---|---|---|
Due to many advantages such as low heat input and high welding speed, laser-welding technology is increasingly used for manufacturing. It is important for the user of laser welding technologies to optimally use the plant capacities, to ensure high availability, and to avoid downtimes, rejections and rectifications of rejects. In order to solve the respective problems, the Fraunhofer Institute for Machine Tools and Forming Technology, in cooperation with Volkswagen Sachsen AG and other partners, is developing a multi-sensor system for in-line process monitoring based upon fuzzy pattern recognition. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/EFTA.2007.4416879 | IEEE International Conference on Emerging Technologies and Factory Automation-ETFA |
Keywords | Field | DocType |
sensor fusion,fuzzy set theory,high availability,machine tool,pattern recognition,quality management,laser beam welding,laser welding | Control engineering,Sensor fusion,Fuzzy set,Manufacturing engineering,Laser beam welding,Engineering,High availability,Welding,Quality management,Machine tool,Fuzzy pattern recognition | Conference |
ISSN | Citations | PageRank |
1946-0740 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Kuhl | 1 | 0 | 1.01 |
| Reimund Neugebauer | 2 | 6 | 4.80 |
| Paul-Michael Mickel | 3 | 0 | 0.34 |