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An automatic flaw classification method for ultrasonic phased array inspection of pipeline girth welds

机译:管道环缝焊缝超声相控阵缺陷自动分类方法

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摘要

In this paper, a novel method for automatic flaw classification in ultrasonic phased array NDT applied to pipeline girth welds has been developed using the LWT, fractal analysis, the GA algorithm and a SVM. The fractal dimensions of the flaw signals were found to be closely related to the type of flaw. It was easy to identify THs and RHs, but some NHs and FHs were difficult to recognise. Experimental results showed that the proposed method is robust and suits the requirements of UPA online automatic flaw classification. Based on this method, a fast and user-friendly classification system has been developed, which can assist inspection technicians in quantitative and qualitative analysis of the UPA NDT.
机译:本文利用LWT,分形分析,GA算法和支持向量机(SVM),开发了一种应用于管道环缝焊缝的超声相控阵无损检测中缺陷自动分类的新方法。发现缺陷信号的分形维数与缺陷类型密切相关。识别TH和RH很容易,但是一些NH和FH很难识别。实验结果表明,该方法鲁棒性强,适合UPA在线缺陷自动分类。基于此方法,开发了一种快速且用户友好的分类系统,该系统可以帮助检查技术人员对UPA NDT进行定量和定性分析。

著录项

  • 来源
    《Insight》 |2013年第6期|308-315|共8页
  • 作者单位

    State Key Laboratory of Precision Measuring Technology & Instruments, Tianjin University, China;

    College of Aeronautical Automation, Civil Aviation University of China, China;

    State Key Laboratory of Precision Measuring Technology & Instruments, Tianjin University, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:35:44

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