【Key words】 BP Neural network； Magnetic flux leakage (MFL) signal； Pipeline defect； Learn and train； VHDL；
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Ultrasonic Guided Wave Testing,basen on the advantages of fast,reliable,economic and not required strip pipeline skins,become a new star of pipeline defect detection technologies.
超声导波检测技术以其检测速度快、可靠、经济而且不需要剥离管道外包层等优点成为管道缺陷检测技术一颗新星。
参考来源 - 海底输油管线超声数据分析与缺陷图形再现系统的实现·2,447,543篇论文数据，部分数据来源于NoteExpress
Pipeline defect detection is an important aspect of safety tests.
管道缺陷的检测是安全检测的重要方面。
Use BP neural network to quantitatively recognize pipeline defect parameter, the error of recognition result is below 10%, and requirement of practical inspection can be completely fulfilled.
应用BP神经网络进行了管道缺陷参数的定量识别，识别结果的误差小于10%，完全满足实际检测的要求。
The analytical results show that this method can be applied in defect size prediction of pipeline in service.
分析结果表明，这一方法可用于在役管道缺陷尺寸的预测。
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