• Infrared and Laser Engineering
  • Vol. 46, Issue 10, 1004005 (2017)
Gong Jinlong1、*, Gai Zhigang1, Xie Weihao1, Liu Enxiao1, Yu Dingfeng1, Liu Junyan2, and Wang Yang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla201746.1004005 Cite this Article
    Gong Jinlong, Gai Zhigang, Xie Weihao, Liu Enxiao, Yu Dingfeng, Liu Junyan, Wang Yang. Study on probability of detection for CFRP laminate defect using infrared thermal wave radar imaging[J]. Infrared and Laser Engineering, 2017, 46(10): 1004005 Copy Citation Text show less
    References

    [1] Ma Guanbing, Zhang Jun, Li Ming, et al. Review on the reliability of non-destructive testing technology[J]. Electric Power, 2012, 45(6): 64-69. (in Chinese)

    [2] George A G. Probability of detection POD curves derivation, application and limitations[R]. London: Health and Safety Executive, 2006.

    [3] Burch S F. Computer modeling for the predication of the probability of detection of ultrasonic corrosion mapping[J]. Insight, 2005, 47(12): 761-764.

    [4] Dag H. Reliability gains from combing eddy current and ultrasonic testing[J]. NDT & E International, 2000, 33(6): 351-362.

    [5] Cheng Zhihu, Wang Yizhi, Chen Baizhen. Analysis and correction of conventional NDT reliability conception[J]. NDT, 1999, 21(1): 2-13. (in Chinese)

    [6] Feng Fuzhou, Zhang Chaosheng, Song Aibin, et al. Probability of detection model for fatigue crack in ultrasonic infrared imaging[J]. Infrared and Laser Engineering, 2016, 45(3): 0304005. (in Chinese)

    [7] Zhang Chaosheng, Song Aibin, Feng Fuzhou, et al. Research on optimization method of test conditions in sonic infrared imaging[J]. Infrared and Laser Engineering, 2016, 45(2): 0204005. (in Chinese)

    [8] Liu Junyan, Liu Xun, Wang Yang. Technology of linear frequency modulation infrared thermal-wave imaging for nondestructive testing[J]. Infrared and Laser Engineering, 2012, 41(6): 1416-1422. (in Chinese)

    [9] Gong Jinlong, Liu Junyan, Qin Lei, et al. Investigation of carbon fiber reinforced polymer (CFRP) sheet with subsurface defects inspection using thermal-wave radar imaging (TWRI) based on the multi-transform technique[J]. NDT & E International, 2014, 62(2): 130-136.

    [10] Liu Junyan, Liu Yang, Wang Fei, et al. Study on probability of detection (POD) determination using lock-in thermography for nondestructive inspection (NDI) of CFRP composite materials[J]. Infrared Physics & Technology, 2015, 71(2): 448-456.

    Gong Jinlong, Gai Zhigang, Xie Weihao, Liu Enxiao, Yu Dingfeng, Liu Junyan, Wang Yang. Study on probability of detection for CFRP laminate defect using infrared thermal wave radar imaging[J]. Infrared and Laser Engineering, 2017, 46(10): 1004005
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