DocumentCode :
2574677
Title :
Methods for a multisensorsystem for in-line process- and quality monitoring of welding seams using fuzzy pattern recognition
Author :
Kuhl, Michael ; Neugebauer, Reimund ; Mickel, Paul-Michael
Author_Institution :
Fraunhofer Inst. for Machine Tools & Forming Technol., Chemnitz
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
908
Lastpage :
911
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.
Keywords :
fuzzy set theory; laser beam welding; pattern classification; process monitoring; quality management; sensor fusion; fuzzy pattern recognition; industrial manufacturing system; inline process monitoring; laser welding seam; multisensor system; quality monitoring; Acoustic sensors; Chemical technology; Filters; Infrared detectors; Intelligent sensors; Monitoring; Pattern recognition; Sensor phenomena and characterization; Surface emitting lasers; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on
Conference_Location :
Patras
Print_ISBN :
978-1-4244-0825-2
Electronic_ISBN :
978-1-4244-0826-9
Type :
conf
DOI :
10.1109/EFTA.2007.4416879
Filename :
4416879
Link To Document :
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