Enhancing Transmission Line Safety: Real-Time Detection of Foreign Objects Using MFMAM-YOLO Algorithm-Reference-Cited by-同舟云学术

Enhancing Transmission Line Safety: Real-Time Detection of Foreign Objects Using MFMAM-YOLO Algorithm

Published:2024-05 Issue:3 Volume:27 Page:13-21
ISSN:1094-6969
Container-title:IEEE Instrumentation & Measurement Magazine
language:
Short-container-title:IEEE Instrum. Meas. Mag.

Author:

Ji Chao¹,Chen Guoyan¹,Huang Xinbo¹,Jia Xinghai¹,Zhang Fan¹,Song Zhiwei¹,Zhu Yongcan¹

Affiliation:

1. School of Electronics Information at Xi'an Polytechnic University,Shaanxi,China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5289/10505164/10505193.pdf?arnumber=10505193

Reference12 articles.

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2. Analysis on blackout in Brazilian power grid on March 21, 2018 and its enlightenment to power grid in China;Yi;Automation of Electric Power Syst.,2019

3. Analysis of Venezuelas blackouts and suggestions on network security of critical infrastructure;Gong;Inform. Technol. Network Security,2019

4. Cause analysis and enlightenment of global blackouts in the past 30 years;Hu;Electric Power,2021

5. Foreign Object Detection of Transmission Lines Based on Faster R-CNN

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