Monitoring Method of Transmission Line Breaking Prevention Based on Deep Learning

Jiang Yan; Li Qiang; Wang Guanyao; Wang Ben; Deng Wei

doi:10.1051/e3sconf/202125201024

All issues

Volume 252 (2021)

E3S Web Conf., 252 (2021) 01024

References

Open Access

Issue		E3S Web Conf. Volume 252, 2021 2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)


Article Number		01024
Number of page(s)		5
Section		Power Control Technology and Smart Grid Application
DOI		https://doi.org/10.1051/e3sconf/202125201024
Published online		23 April 2021

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[1] Golightly I, Jones D. Corner detection and matching for visual tracking during power line inspection[J]. Image & Vision Computing, 2003, 21(9):827–840. [Google Scholar]

[2] Larrauri J I, Sorrosal G, González M. Automatic system for overhead power line inspection using an Unmanned Aerial Vehicle - RELIFO project[C]// International Conference on Unmanned Aircraft Systems. 2013. [Google Scholar]

[3] Fang S, Li L, Zheng Y, et al. Protection Technology for Transmission Lines Based on Laser Range Imaging and Image Processing [J]. Electrical Automation. 2017, 39(3):6–8. [Google Scholar]

[4] Liu J, Jing Z, Hui Z, et al. Extracting Deep Video Feature for Mobile Video Classification with ELU-3DCNN [J]. 2017. [Google Scholar]

[5] Haque A, Alahi A, Feifei L. Recurrent Attention Models for Depth-Based Person Identification [C]. 2016 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 2016. [Google Scholar]

[6] Simonyan K, Zisserman A. Two-Stream Convolutional Networks for Action Recognition in Videos [J]. 2014. [Google Scholar]

[7] Tran D, Bourdev L, Fergus R, et al. Learning Spatiotemporal Features with 3D Convolutional Networks [J]. 2014.. [Google Scholar]

[8] Gers F A, Schmidhuber J, Cummins F. Learning to Forget: Continual Prediction with LSTM [J]. Neural Computation, 2000, 12(10):2451–2471. [Google Scholar]

[9] Xiao A, Liu J, Li Y, et al. Two-phase rate adaptation strategy for improving real-time video QoE in mobile networks [J]. China Communications, 2018, 15(10):12–24. [Google Scholar]

[10] Bu S J, Cho S B. A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments [M]. 2018. English version of this patent. [Google Scholar]