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oapen-20.500.12657-88624
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dspace
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oapen-20.500.12657-886242024-03-28T14:03:01Z Machine Learning for Camera-Based Monitoring of Laser Welding Processes Hartung, Julia CNN; stacked dilated U-Net; semantic segmentation; hairpin technology; laser welding; quality assurance; machine learning; Qualitätssicherung; semantische Segmentierung; Hairpin Technologie; Laserschweißen; Maschinelles Lernen; Künstliche Intelligenz thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance. 2024-03-18T13:31:49Z 2024-03-18T13:31:49Z 2024 book https://library.oapen.org/handle/20.500.12657/88624 eng Forschungsberichte aus der Industriellen Informationstechnik application/pdf Attribution-ShareAlike 4.0 International machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf https://doi.org/10.5445/KSP/1000164716 KIT Scientific Publishing 10.5445/KSP/1000164716 10.5445/KSP/1000164716 44e29711-8d53-496b-85cc-3d10c9469be9 32 258 open access
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| institution |
OAPEN
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DSpace
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| language |
English
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| description |
The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
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| title |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| spellingShingle |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| title_short |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| title_full |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| title_fullStr |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| title_full_unstemmed |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| title_sort |
machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf
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| publisher |
KIT Scientific Publishing
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| publishDate |
2024
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| url |
https://doi.org/10.5445/KSP/1000164716
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| _version_ |
1799945267643940864
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