• Infrared Technology
  • Vol. 42, Issue 2, 144 (2020)
Songtao KONG1、*, Run ZHANG1, Ying LAN1, Keqin DING2, and Kun WANG1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    KONG Songtao, ZHANG Run, LAN Ying, DING Keqin, WANG Kun. Infrared Location, Quantitative Identification, and Experimental Study of Defects in the Winding Layer of a CNG Gas Cylinder[J]. Infrared Technology, 2020, 42(2): 144 Copy Citation Text show less
    References

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    [12] CHEN D, ZHANG X, Zhang G, et al. Infrared thermography and its applications in aircraft non-destructive testing[C]//2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) IEEE, 2016: 374-379.

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    [15] LV C, XING Y, ZHANG J, et al. Levenberg-marquardt back propagation training of multilayer neural networks for state estimation of as safety critical cyber-physical system[J]. IEEE Transactions on Industrial Informatics, 2017, 14(8): 3436-3446.

    [16] YANG S , FENG Q , LIANG T, et al. Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the three-river headwaters region[J]. Remote Sensing of Environment,2017:S0034425717304741.

    [17] WANG D, LUO H, Grunder O, et al. Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm[J]. Applied Energy, 2017, 190: 390-407.

    [18] WANG Hui, YANG Qingtao, ZHU Xinxin. Inverse estimation of heat flux using linear artificial neural networks[J]. International Journal of Thermal Sciences, 2018, 132: 478-485.

    KONG Songtao, ZHANG Run, LAN Ying, DING Keqin, WANG Kun. Infrared Location, Quantitative Identification, and Experimental Study of Defects in the Winding Layer of a CNG Gas Cylinder[J]. Infrared Technology, 2020, 42(2): 144
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