This study introduces a deep learning engine designed for the non-destructive automatic detection of defects within weld beads. A 1D waveform ultrasound signal was collected using an A-scan pulser receiver to gather defect signals from inside the weld bead. We established 5. 108 training datasets and 500 test datasets for five pass/fail labels in this study. https://countryscenesaddleryandpetsuppliers.shop/product-category/protection-boot-bag/
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