On-line Detection of Imperfections in Laser-brazed Joints

This paper presents a joint imperfection detection method for on-line process monitoring of laser brazing processes. The method uses images from two spectral ranges and fuses their features with the scores of the separately calculated log-likelihood ratios to decide whether the currently generated part of a joint contains an imperfection or not. To avoid unconfident classifications, a decision reject is implemented. Furthermore, the classifier can be adapted to different quality requirements.