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首页> 外文会议>Sixth International Conference on Quality Control by Artificial Vision May 19-22, 2003 Gatlinburg, Tennessee, USA >Characterization of gas pipeline flaws using wavelet analysis
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Characterization of gas pipeline flaws using wavelet analysis

机译：用小波分析表征天然气管道缺陷

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As U.S. natural gas supply pipelines are aging, non-destructive inspection techniques are needed to maintain the integrity and reliability of the natural gas supply infrastructure. Ultrasonic waves are one promising method for nondestructive inspection of pipeline integrity. As the waves travel through the pipe wall, they are affected by the features they encounter. In order to build a practical inspection system that uses ultrasonic waves, an analysis method is needed that can distinguish between normal pipe wall features, such as welds, and potentially serious flaws, such as cracks and corrosion. Ideally, the determination between "flaw" and "no-flaw" must be made in real-time as the inspection system passes through the pipe. Because wavelet basis functions share some common traits with ultrasonic waves, wavelet analysis is particularly well-suited for this application. Using relatively simple features derived from the wavelet analysis of ultrasonic wave signatures traveling in a pipe wall, we have successfully demonstrated the ability to distinguish between the "flaw" and "no-flaw" classes of ultrasonic signatures.
机译：随着美国天然气供应管道老化，需要无损检查技术来维持天然气供应基础设施的完整性和可靠性。超声波是一种无损检查管道完整性的有前途的方法。随着波浪穿过管壁，它们会受到遇到的特征的影响。为了构建使用超声波的实用检查系统，需要一种能够区分正常的管壁特征（例如焊缝）和潜在的严重缺陷（例如裂缝和腐蚀）的分析方法。理想情况下，当检查系统通过管道时，必须实时确定“缺陷”和“无缺陷”。由于小波基函数与超声波具有一些共同的特征，因此小波分析特别适合于此应用。使用从在管壁中传播的超声波签名的小波分析得出的相对简单的特征，我们已经成功地展示了区分“缺陷”和“无缺陷”类别的超声波签名的能力。

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