High-Voltage Transmission Line Foreign Object and Power Component Defect Detection Based on Improved YOLOv5-Reference-Cited by-同舟云学术

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High-Voltage Transmission Line Foreign Object and Power Component Defect Detection Based on Improved YOLOv5

Published:2023-09-15 Issue:1 Volume:19 Page:851-866
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Wang Shanshan,Tan Weiwei,Yang Tengfei,Zeng Liang,Hou Wenguang,Zhou Quan

Funder

Key Project of Science and Technology Research Program of Hubei Educational Committe

National Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-023-01625-6.pdf

Reference31 articles.

1. Zhao Z, Qi H, Qi Y, Zhang K, Zhai Y, Zhao W (2020) Detection method based on automatic visual shape clustering for pin-missing defect in transmission lines. IEEE Trans Instrum Meas 69(9):6080–6091

2. Ma Y, Li Q, Chu L, Zhou Y, Xu C (2021) Real-time detection and spatial localization of insulators for uav inspection based on binocular stereo vision. Remote Sensing 13(2):230

3. Mohamed N, Al-Jaroodi J, Jawhar I, Idries A, Mohammed F (2020) Unmanned aerial vehicles applications in future smart cities. Technol Forecast Soc Chang 153:119293

4. Liang H, Zuo C, Wei W (2020) Detection and evaluation method of transmission line defects based on deep learning. IEEE Access 8:38448–38458

5. Zhang Y-C, Liang Z, Tan M (2004) Mobile robot for overhead powerline inspection: a review. Robot 26(5):467–473

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1. Aerial Inspection of High-Voltage Power Lines Using YOLOv8 Real-Time Object Detector;Energies;2024-05-24

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