DocumentCode :
1984393
Title :
Composite techniques for quality analysis in automotive laser welding
Author :
Alippi, Cesare ; D´Angelo, Giuseppe ; Matteucci, Matteo ; Pasquettaz, Giorgio ; Piuri, Vincenzo ; Scotti, Fabio
Author_Institution :
Dept. of Electron. & Inf., Politecnico di Milano, Italy
fYear :
2003
fDate :
29-31 July 2003
Firstpage :
72
Lastpage :
77
Abstract :
Real-time monitoring of the laser-based applications is becoming a main issue for quality analysis in the steel manufacturing industry. The paper suggests a solution achieving an automated real-time quality inspection in laser welding applications. A composite system composed of soft computing and traditional techniques has been considered for its positive impact on the reduced computation compared with more traditional approaches.
Keywords :
automobile manufacture; feature extraction; feedforward neural nets; laser beam welding; pattern classification; process monitoring; quality control; real-time systems; automated real time quality inspection; automotive laser welding; composite techniques; laser based application; quality analysis; real time monitoring; soft computing; steel manufacturing industry; Automotive engineering; Chromium; Gears; Information technology; Inspection; Laser tuning; Power lasers; Ring lasers; Signal processing algorithms; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7783-4
Type :
conf
DOI :
10.1109/CIMSA.2003.1227205
Filename :
1227205
Link To Document :
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