Optics and Precision Engineering, Volume. 27, Issue 8, 1863(2019)

Application of magneto-optical imaging magnetic flux leakage characteristics in contour reconstruction of welding defects

GAO Xiang-dong*... ZHOU Xiao-hu, LI Yan-feng, DAI Xin-xin and ZHANG Nan-feng |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less
    References(13)

    [2] [2] PENG L, HUANG S L, ZHAO W, et al.. Defect reconstruction method in magnetic flux leakage detection [J]. Electrical Measurement & Instrumentation, 2015, 52(13): 1-6. (in Chinese)

    [3] [3] HAN W H, QUE P W. Reconstruction of two dimensional magnetic flux leakage defect based on genetic algorithm [J].Journal of China University of Petroleum(Edition of Natural Science), 2006, 30(1): 138-141. (in Chinese)

    [4] [4] RAVAN M, SADAGHI S H H, MOINI R. Using a wavelet network for reconstruction of fatigue crack depth profile from AC field measurement signals [J]. Ndt & E International, 2007, 40(7): 537-544.

    [5] [5] YUAN X C, WANG C L, ZUO X Z, et al.. A method of 2D defect profile reconstruction from magnetic flux leakage signals based on improved particle filter [J]. Insight-Non-Destructive Testing and Condition Monitoring, 2011, 53(3): 152-155.

    [6] [6] BETTA G, FERRIGNO L, LARACCA M, et al.. Fast 2D crack profile reconstruction by image processing for eddy-current testing[C]. Metrology for Aerospace. IEEE, 2015: 341-345.

    [7] [7] JIAN Q P. Quantification of Tubing Defects Based on Magnetic Flux Leakage Detection [D].Chengdu: Southwest Petroleum University, 2015. (in Chinese)

    [8] [8] WANG H. Experimental Study on Signal Analysis and Defect Evaluation of Magnetic Leakage Detection [D]. Wuhan: Huazhong University of Science and Technology, 2014. (in Chinese)

    [9] [9] LIAO X X, ZHOU SH Q, BAI J CH. Signal analysis of tri-axial ac-mfl inspection for therectangular defect [J]. Journal of Chongqing University of Technology, 2016, 30(9): 106-112. (in Chinese)

    [10] [10] ZHANG L M, CHEN J Q, ZOU B, Fine classification of polarimetric SAR images based on 3D convolutional neural network [J]. Infrared and Laser Engineering, 2018, 47(7): 17-24. (in Chinese)

    [12] [12] GAO X D, CHEN Y Q, YOU D Y, et al.. Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network [J]. Mechanical Systems & Signal Processing, 2017, 84: 570-583.

    CLP Journals

    [1] LI Jin-peng, REN Guo-quan, ZHANG Ying-tang, FAN Hong-bo, LI Zhi-ning. Source separation based on improved two-dimensional variational mode decomposition[J]. Optics and Precision Engineering, 2020, 28(5): 1200

    Tools

    Get Citation

    Copy Citation Text

    GAO Xiang-dong, ZHOU Xiao-hu, LI Yan-feng, DAI Xin-xin, ZHANG Nan-feng. Application of magneto-optical imaging magnetic flux leakage characteristics in contour reconstruction of welding defects[J]. Optics and Precision Engineering, 2019, 27(8): 1863

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 7, 2018

    Accepted: --

    Published Online: Jan. 19, 2020

    The Author Email: GAO Xiang-dong (gaoxd@gdut.edu.cn)

    DOI:10.3788/ope.20192708.1863

    Topics