• Acta Photonica Sinica
  • Vol. 52, Issue 1, 0112002 (2023)
Jisheng XU1,2,3, Jiaojiao REN1,2,3,*, Dandan ZHANG1,2,3, Jian GU1,2,3..., Jiyang ZHANG3, Lijuan LI1,2,3 and Junwen XUE3|Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Photoelectric Measurement and Optical Information Transmission Technology of Ministry of Education,Changchun University of Science and Technology,Changchun 130022,China
  • 2College of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022,China
  • 3Zhongshan Institute of Changchun University of Science and Technology,Zhongshan 528400,China
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    DOI: 10.3788/gzxb20235201.0112002 Cite this Article
    Jisheng XU, Jiaojiao REN, Dandan ZHANG, Jian GU, Jiyang ZHANG, Lijuan LI, Junwen XUE. Terahertz Identification of Hot Melting Joint Defects in Polyethylene Pipe Based on Wavelet Scattering Network[J]. Acta Photonica Sinica, 2023, 52(1): 0112002 Copy Citation Text show less
    References

    [1] X B LIU, H ZHANG, M Y XIA et al. Mechanical response of buried polyethylene pipelines under excavation load during pavement construction. Engineering Failure Analysis, 90, 355-370(2018).

    [2] H S LAI, N N TUN, S H KIL et al. Effect of defects on the burst failure of butt fusion welded polyethylene pipes. Journal of Mechanical Science and Technology, 30, 1973-1981(2016).

    [3] N P ALESHIN, D M KOZLOV, L Y MOGILNER. Ultrasonic testing of welded joints in polyethylene pipe. Russian Engineering Research, 41, 123-129(2021).

    [4] Zhibin ZHU. Defect detection of polyethylene pipe hot melt joint based on continuous excitation infrared thermography technology. Transactions of the China Welding Institution, 44-48(2018).

    [5] Xiang SHAO, Shenjun ZHANG, Wendong WU. Application of radiographic detection in soldered joint of buried polyethylene pipes for gas. Nondestructive Testing, 40, 35-37(2018).

    [6] Z DANDAN, R JIAOJIAO, G JIAN et al. Nondestructive testing of bonding defects in multilayered ceramic matrix composites using THz time domain spectroscopy and imaging. Composite Structures, 112624(2020).

    [7] Jiaojiao REN, Lijuan LI, Dandan ZHANG et al. Multi-feature parameter neural network analysis technique based on terahertz nondestructive testing. Journal of Photonics, 46, 0412002(2017).

    [8] C JANSEN, S WIETZKE, H WANG et al. Terahertz spectroscopy on adhesive bonds. Polymer Testing, 30, 150-154(2011).

    [9] Qiang CHEN, Qiang WANG, Xiaohong GU et al. Inspection of aging and defects of poly-ethylene pipe joints based on THz-TDS. Laser & Optoelectronics Progres, 56, 217-222(2019).

    [10] N PALKA, R PANOWICZ, M CHALIMONIUK et al. Nondestructive evaluation of puncture region in polyethylene composite by terahertz and X-ray radiation. Composites Part B: Engineering, 92, 315-325(2016).

    [12] S A MARYAM, S RYAN, S FEDAR et al. Using machine learning to automate ultrasound-based classification of butt-fused joints in medium-density polyethylene gas pipes. The Journal of the Acoustical Society of America, 150, 561-572(2021).

    [13] Henan WANG, Jiaojiao REN, Dandan ZHANG et al. Glass fiber reinforced polymer terahertz feature enhancement and defect imaging based on continuous wavelet transform. Acta Materiae Compositae Sinica, 38, 4190-4197(2021).

    [14] Li ZHENG, Chuang LIU, Jiaojiao REN et al. Debonding defect identification method of multilayer bonded structure based on LDA-CPSO-SVM optimization. Journal of Photonics, 50, 1212004(2021).

    [15] M BAUER, R HUSSUNG, C MMATHEIS et al. Fast FMCW terahertz imaging for in-process defect detection in press sleeves for the paper industry and image evaluation with a machine learning approach. Sensors, 21, 6569(2021).

    [16] Qi CHEN. Robot offline programming technology and error analysis for terahertz intelligent detection system(2020).

    [17] M RAHMAN, A HARYONO, M A KHOUSA. Microwave nondestructive evaluation of glass reinforced epoxy and high density polyethylene pipes. Journal of Nondestructive Evaluation, 39, 26(2020).

    [18] B JUAN, M STE´PHANE. Invariant scattering convolution networks, 35, 1872-1886(2013).

    [19] Hui LIU, Yongkang LI, Fang GAO et al. Transmission line fault diagnosis based on wavelet scattering with BiLSTM. Foreign Electronic Measurement Technology, 40, 165-172(2021).

    [20] Z LIU, G YU, O ZHANG et al. Wavelet scattering transform for ECG beat classification. Computational and Mathematical Methods in Medicine, 2020, 1-11(2020).

    [21] Yanling CHENG, Lianglun CHENG, Heng WU et al. A method of terahertz spectrum material identifition based on wavelet coefficient graph. Spectroscopy and Spectral Analysis, 41, 3665-3670(2021).

    [22] Dan LI, Manman WANG, Junde LIU et al. Steel surface defect recongnition based on a lightweight convolutional neural network. Chinese Journal of Scientific Instrument, 43, 240-248(2022).

    Jisheng XU, Jiaojiao REN, Dandan ZHANG, Jian GU, Jiyang ZHANG, Lijuan LI, Junwen XUE. Terahertz Identification of Hot Melting Joint Defects in Polyethylene Pipe Based on Wavelet Scattering Network[J]. Acta Photonica Sinica, 2023, 52(1): 0112002
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