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- W2890311545 abstract "In situ and real-time monitoring of laser processes are very challenging due to complex dynamics of the laser-matter interactions. Acoustic emission (AE) technique is often used as non-destructive monitoring of many kinds of processes. However, acoustic emission is not industrialized for laser processing for two reasons. First, the signals are too sensitive to the environmental noises. Second, a correlation of the acoustic emission signal with the real events is very difficult to realize despite being of utmost importance. To overcome these difficulties, we combined fast hard X-ray imaging with acoustic sensors and state-of-the-art machine learning." @default.
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- W2890311545 date "2018-01-01" @default.
- W2890311545 modified "2023-10-15" @default.
- W2890311545 title "Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach" @default.
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- W2890311545 doi "https://doi.org/10.1016/j.procir.2018.08.054" @default.
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