Advanced Search
CHI Dazhao, GANG Tie, GAO Shuangsheng. Research on phase recognition for ultrasonic TOFD tested signal[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (9): 17-20.
Citation: CHI Dazhao, GANG Tie, GAO Shuangsheng. Research on phase recognition for ultrasonic TOFD tested signal[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (9): 17-20.

Research on phase recognition for ultrasonic TOFD tested signal

More Information
  • Received Date: July 05, 2011
  • In ultrasonic TOFD(time of flight diffraction) tested signal, the phase information is very important parameter for qualitative identification and quantitative measurement of defect usually, Phase characteristic is not obvious in the original tested signal for the effect of testing system. For low SNR(signal to noise ratio) ultrasonic signal, the Wiener inverse filter is insufficient for improving the time resolution. To solve the disadvantuge of traditional de-convolution technique, an improved Wiener inverse filter method is proposed by employing spectral extrapolation. Computer simulated and artificial defect tested signals were processed by using traditional and improved Wiener filter technology respetively. The results showed that the proposed method could effectively improve the time resolution of the received signal, and could accurately extract the phase information about the defect tips. The proposed method could provide a reliable basis for defect identification and location.
  • Related Articles

    [1]FANG Jimi, WANG Kehong, HUANG Yong. Research on image fusion method of visible and near infrared weld pool[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(5): 18-23. DOI: 10.12073/j.hjxb.2019400121
    [2]YANG Jialin, GAO Jinqiang, QIN Guoliang, HE Jianguo, WU Chuansong, ZHANG Tao. Vision-based checking and image processing for melt pool of laser deep penetration welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (11): 21-24.
    [3]ZOU Yirong, WU Zheming, GUO Guilin, DU Dong. Image processing algorithm for weld seam recognition based on color analyzing[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (10): 37-40.
    [4]WANG Zhijiang, ZHANG Guangjun, GAO Hongming, WU Lin. Dynamic monitoring of weld pool image for pulsed GTAW in welding scene[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (9): 47-50.
    [5]ZHAO Xiang-bin, LI Liang-yu, XIA Chang-liang, FU Ling-jian. Image processing of seam tracking system with laser vision[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (12): 42-44,48.
    [6]WANG Ke-hong, SHEN Ying-ji, QIAN Feng, YOU Qiu-rong. MAG welding molten pool image character and useful information analysis[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (11): 53-56.
    [7]LIU Xi-wen, WANG Guo-rong, SHI Yong-hua. Image processing in welding seam tracking based on single-stripe laser[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (6): 25-28,32.
    [8]XUE Jia-xiang, ZHANG Li-ling. Gray scale morphological analysis on molten pool image of metal active-gas welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (4): 13-16.
    [9]WANG Qing-xiang, SUN Bing-da, LI Di. Image processing method for recognizing position of welding seam[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (2): 59-63.
    [10]GU Chun-yan, ZHANG Li-bin, HU Bao-jian, LIU Chao-ying, HUANG Wei. Application of image processing automatic tracking of CO2 arc welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2004, (4): 70-72.

Catalog

    Article views (303) PDF downloads (69) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return