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关于使用变压器神经网络来解超声波信号的使用

T Sendra1, P Belanger1

  • 1Department of Mechanics, Ecole de Technologie Superieure, 1100 Notre-Dame Street West, Montreal, H3C 1K3, QC, Canada.

Ultrasonics
|March 29, 2025
PubMed
概括

这项研究引入了一种新的AI模型,将卷积神经网络 (CNN) 和变压器神经网络 (TNN) 结合起来,以精确测量壁厚. 这种先进的技术显著提高了对腐蚀的评估准确度,即使是具有挑战性的超声波信号.

关键词:
卷积神经网络是一种卷积神经网络.腐蚀是一种腐蚀.解体解体是一种解体.非破坏性的评价测量厚度的测量方法飞行时间 - - 飞行时间.变压器神经网络 变压器神经网络超声波测试 超声波测试 超声波测试

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