Spectroscopy and Spectral Analysis, Volume. 45, Issue 2, 542(2025)

Infrared Thermography Detection of GFRP/NOMEX Honeycomb Sandwich Structure Defects Based on Convolutional Neural Network

TANG Qing-ju1,2, GU Zhuo-yan1, BU Hong-ru2, XU Gui-peng2, TAN Xin-jie2, and XIE Rui2
Author Affiliations
  • 1School of Safety Engineering, Heilongjiang University of Science and Technology, Harbin 150022, China
  • 2School of Mechanical Engineering, Heilongjiang University of Science and Technology, Harbin 150022, China
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    References(8)

    [1] [1] Tang Q J, Fan W M, Ji J, et al. Thermal Science, 2021, 25(6 Part B): 4611.

    [3] [3] Hu C, Duan Y, Liu S, et al. Infrared Physics & Technology, 2019, 102: 103032.

    [4] [4] Almond D P, Angioni S L, Pickering S G. NDT & E International, 2017, 87: 7.

    [7] [7] Tang Q, Dai J, Liu J, et al. Infrared Physics & Technology, 2016, 77: 144.

    [8] [8] Saeed N, Abdulrahman Y, Amer S, et al. Infrared Physics & Technology, 2019, 98: 192.

    [9] [9] Wang Z, Wan L, Zhu J, et al. NDT & E International, 2022, 129: 102658.

    [15] [15] Yu J, Zhang C, Wang S. Neural Computing and Applications, 2020, 33(8): 1.

    [17] [17] Peng D, Liu Z, Wang H, et al. IEEE Access, 2019, 710278.

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    TANG Qing-ju, GU Zhuo-yan, BU Hong-ru, XU Gui-peng, TAN Xin-jie, XIE Rui. Infrared Thermography Detection of GFRP/NOMEX Honeycomb Sandwich Structure Defects Based on Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2025, 45(2): 542

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    Paper Information

    Received: Feb. 24, 2024

    Accepted: May. 21, 2025

    Published Online: May. 21, 2025

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2025)02-0542-09

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