Infrared Technology, Volume. 42, Issue 2, 144(2020)
Infrared Location, Quantitative Identification, and Experimental Study of Defects in the Winding Layer of a CNG Gas Cylinder
[11] [11] YU Y, SHEN G , QIAN J. Damage inspection for a composite cylinder using a thermography test during air injection[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2016: DOI: 10.1784/insi.2016.58.12.671.
[12] [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.
[13] [13] Najafi H, Woodbury K A. Online heat flux estimation using artificial neural network as a digital filter approach[J]. International Journal of Heat and Mass Transfer, 2015, 91: 808-817.
[14] [14] WANG B, GU X, MA L, et al. Temperature error correction based on BP neural network in meteorological wireless sensor network[C]//International Conference on Cloud Computing and Security, 2016:117-132.
[15] [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] [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] [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] [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.
Get Citation
Copy Citation Text
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
Category:
Received: Sep. 6, 2019
Accepted: --
Published Online: May. 12, 2020
The Author Email: Songtao KONG (stepsnow@126.com)
CSTR:32186.14.