发明名称 |
Methods and systems for classifying the type and severity of defects in welds |
摘要 |
A method for determining the type of a defect in a weld may include determining a defect location and a corresponding defect signal by analyzing ultrasonic response signals collected from a plurality of measurement locations along the weld. The defect signal and the plurality of defect proximity signals corresponding to ultrasonic response signals from measurement locations on each side of the defect location may then be input into a trained artificial neural network. The trained artificial neural network may be operable to identify the type of the defect located at the defect location based on the defect signal and the plurality of defect proximity signals and output the type of the defect located at the defect location. The trained artificial neural network may also be operable to determine a defect severity classification based on the defect signal and the plurality of defect proximity signals and output the severity classification. |
申请公布号 |
US8146429(B2) |
申请公布日期 |
2012.04.03 |
申请号 |
US20090534581 |
申请日期 |
2009.08.03 |
申请人 |
UME IFEANYI CHARLES;LI RENFU;ROGGE MATTHEW;WU TSUN-YEN;GEORGIA TECH RESEARCH CORPORATION |
发明人 |
UME IFEANYI CHARLES;LI RENFU;ROGGE MATTHEW;WU TSUN-YEN |
分类号 |
G01N29/04 |
主分类号 |
G01N29/04 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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