METHOD, DEVICE, AND SYSTEM FOR DETECTING WELDING SPOT QUALITY ABNORMALITIES BASED ON DEEP LEARNING
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United States of America Patent
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Issued Date -
Mar 23, 2023
app pub date -
Feb 22, 2022
filing date -
Sep 18, 2021
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Abstract
The present application relates to a method, device, and system for detecting welding spot quality abnormalities based on deep learning. The method includes: acquiring a dynamic welding parameter in a welding process corresponding to any target welding spot; inputting the dynamic welding parameter into a pre-trained dynamic welding parameter simulation model for simulation, and acquiring a welding simulation parameter output by the dynamic welding parameter simulation model; determining a deviation of the dynamic welding parameter from the welding simulation parameter, and determining that the target welding spot is an abnormal welding spot when the deviation is greater than a preset threshold. The solution of the present application can reduce the frequency of manual tearing down and batches for abnormality detection, which has a faster abnormality detection speed and may cover all welding spots.
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