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基于超声杂波抑制的缺陷检测

迟大钊, 刚铁

迟大钊, 刚铁. 基于超声杂波抑制的缺陷检测[J]. 焊接学报, 2015, 36(10): 17-20.
引用本文: 迟大钊, 刚铁. 基于超声杂波抑制的缺陷检测[J]. 焊接学报, 2015, 36(10): 17-20.
CHI Dazhao, GANG Tie. Defect detection method based on ultrasonic clutter wave suppression[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(10): 17-20.
Citation: CHI Dazhao, GANG Tie. Defect detection method based on ultrasonic clutter wave suppression[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(10): 17-20.

基于超声杂波抑制的缺陷检测

基金项目: 国家自然科学基金资助项目(51375002,51005056);黑龙江省博士后科研启动基金资助项目(LBH-Q13079)

Defect detection method based on ultrasonic clutter wave suppression

  • 摘要: 超声TOFD(time of flight diffraction,衍射时差)法检测的D扫描图像中,作为背景杂波的侧向波与近表面缺陷波会发生混叠,致使近表面缺陷不易于检测. 针对这一问题,提出一种基于杂波抑制的缺陷检测方法. 该方法通过图像能量分布统计,确定背景杂波分量并予以去除,从而分离出与其混叠的缺陷信号,实现近表面缺陷的检测. 建立了的超声TOFD法检测信号的数学模型,阐明了基于图像能量分布的杂波抑制原理. 制作了人工缺陷试块及实际焊缝试块,并对其检测获取的图像进行了杂波抑制处理. 结果表明,提出的方法可有效去除图像中的非缺陷目标、提取近表面缺陷波,从而提高系统的有效检测范围.
    Abstract: In ultrasonic TOFD (time of flight diffraction) D-scan image, the lateral wave overlaps with the near surface defect wave, which makes it difficult in the testing of shallowly buried defect. In order to solve this problem, a defect testing method based on background clutter suppression is presented. The energy distribution in the image is calculated to determine the clutter wave component. Then the clutter wave is removed to separate the defect signal from the background image. The mathematical model for TOFD signal is established. The principle of clutter wave suppression method is described in details. Artificial defects contained block and the weld test pieces were made and tested. The collected D-scan images with clutter wave suppression were processed. The results show that using the proposed method, the background clutter wave can be removed from the D-scan image and the defect signal can be extracted from the overlapped waves effectively. The defect detection range for TOFD can be improved using the proposed method.
  • [1] 迟大钊, 刚 铁. 一种基于WMM的噪声抑制新方法[J]. 焊接学报, 2011, 32(8): 9-12. Chi Dazhao, Gang Tie. A novel WMM based de-noising method for ultrasonic tested signal[J]. Transactions of the China Welding Institution, 2011, 32(8): 9-12.
    [2] 迟大钊, 刚 铁, 姚英学. 基于非线性小波收缩的超声检测缺陷信号识别方法[J]. 机械工程学报, 2011. 47(18):1-6. Chi Dazhao, Gang Tie, Yao Yingxue. Non-linear wavelet shrinkage based method for defect detection in ultrasonic signal[J]. Journal of Mechanical Engineering, 2011, 47(18): 1-6.
    [3] 迟大钊, 刚 铁, 高双胜. 超声TOFD法检测信号相位识别技术[J]. 焊接学报, 2011, 32(9): 17-20. Chi Dazhao, Gang Tie, Gao Shuangsheng. Research on phase recognition for ultrasonic TOFD tested signal[J]. Transactions of the China Welding Institution, 2011, 32(9): 17-20.
    [4] Chi Dazhao, Gang Tie. Shallower buried defect testing method based on ultrasonic TOFD[J]. Journal of Nondestructive Evaluation, 2013, 32(2): 164-171.
    [5] 迟大钊, 刚 铁, 姚英学, 等. 一种基于超声TOFD法的近表面缺陷检测模式[J]. 焊接学报, 2011, 32(2): 25-28. Chi Dazhao, Gang Tie, Yao Yingxue, et al. A testing mode for near surface defect detection based on ultrasonic TOFD[J]. Transactions of the China Welding Institution, 2011, 32(2): 25-28.
    [6] Baskaran G, Balasubramaniam K, Krishnamurthy CV, et al. Ultrasonic TOFD flaw sizing and imaging in thin plates using embedded signal identification technique (ESIT)[J]. Insight: Non-Destructive Testing and Condition Monitoring, 2004, 46(9): 537-542.
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出版历程
  • 收稿日期:  2015-06-01

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