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- W2110905430 abstract "A method for automatic detection of weld defects of short-circuit gas metal arc welding is presented. It is based on the extraction of arc signal features as well as classification of the obtained features using self-organizing feature map (SOM) neural networks in order to get the weld quality information, for example, to determine if there is a defect in the product. This is important for the online monitoring of weld quality especially in robotic welding and lays the foundation for further real-time control of weld quality." @default.
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- W2110905430 date "2000-01-01" @default.
- W2110905430 modified "2023-09-26" @default.
- W2110905430 title "Online monitoring of weld defects for short-circuit gas metal arc welding based on the self-organizing feature map neural networks" @default.
- W2110905430 cites W2016894336 @default.
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- W2110905430 doi "https://doi.org/10.1109/ijcnn.2000.861464" @default.
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