Image Identification Method of Ice Thickness on Transmission Line Based on Visual Sensing

Author:

Hu Minghe,He Jiancang,Alsabaan Maazen

Funder

Researchers Supporting Project of King Saud University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference21 articles.

1. Ding Z, Zhang X, Zou N et al (2021) Phi-OTDR based on-line monitoring of overhead power transmission line. J Lightwave Technol 39(15):5163–5169

2. Kong PY, Wang JC, Tseng KS et al (2021) An adaptive packets hopping mechanism for transmission line monitoring systems with a long chain topology. Int J Electr Power Energy Syst 124(1):106394.17 (106394.17)

3. Evans E, Fraser AD, Cook S et al (2022) An observation-based approach to calculating ice-shelf calving mass flux. Remote Sens Environ 272(4):112918–112920

4. Wang B, Ma F, Ge L et al (2020) Icing-EdgeNet: a pruning lightweight edge intelligent method of discriminative driving channel for ice thickness of transmission lines. IEEE Trans Instrum Meas 70(8):2501412.1-2501412.12

5. Zheng J, Wei Y (2021) Multi dimensional evaluation of transmission line and insulator icing in natural environment. Comput Simul 38(1):88–186

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