Volume 46 Issue 10
Nov.  2017
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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): 1004005-1004005(9). doi: 10.3788/IRLA201784.1004005
Citation: 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): 1004005-1004005(9). doi: 10.3788/IRLA201784.1004005

Study on probability of detection for CFRP laminate defect using infrared thermal wave radar imaging

doi: 10.3788/IRLA201784.1004005
  • Received Date: 2017-02-14
  • Rev Recd Date: 2017-03-21
  • Publish Date: 2017-10-25
  • An infrared thermal wave radar imaging system was set up to detect the internal CFRP laminate defects. Two novel kinds of signal extraction algorithms named Chirp lock-in algorithm and HT algorithm based on Hilbert transform and Fractional Fourier transform were developed in order to obtain the characteristic information of thermal wave radar signal. The defect size distribution range and criteria of defect judgment were designed reasonably. The influence of signal extraction algorithms on the probability of detection was studied by means of Hit/miss analysis methodology. The POD curves obtained by the proposed algorithms at the designed testing parameters and thresholds were given. According to the probability analysis of detection, the probability level of CFRP laminate defects detection using infrared thermal wave radar imaging system were identified.
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    [2] George A G. Probability of detection POD curves derivation, application and limitations[R]. London:Health and Safety Executive, 2006.
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    [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)冯辅周, 张超省, 宋爱斌, 等, 超生红外热像检测中疲劳裂纹的检出概率模型研究[J]. 红外与激光工程, 2016, 45(3):0304005.
    [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)张超省, 宋爱斌, 冯辅周, 等. 超声红外热像检测条件的优化方法研究[J]. 红外与激光工程, 2016, 45(2):0204005.
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Study on probability of detection for CFRP laminate defect using infrared thermal wave radar imaging

doi: 10.3788/IRLA201784.1004005
  • 1. Institute of Oceanographic Instrumentation,Shandong Academy of Sciences,Qingdao 266001,China;
  • 2. School of Mechatronics Engineering,Harbin Institute of Technology,Harbin 150001,China

Abstract: An infrared thermal wave radar imaging system was set up to detect the internal CFRP laminate defects. Two novel kinds of signal extraction algorithms named Chirp lock-in algorithm and HT algorithm based on Hilbert transform and Fractional Fourier transform were developed in order to obtain the characteristic information of thermal wave radar signal. The defect size distribution range and criteria of defect judgment were designed reasonably. The influence of signal extraction algorithms on the probability of detection was studied by means of Hit/miss analysis methodology. The POD curves obtained by the proposed algorithms at the designed testing parameters and thresholds were given. According to the probability analysis of detection, the probability level of CFRP laminate defects detection using infrared thermal wave radar imaging system were identified.

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