A Fault Detection Method for Power Transmission Lines Using Aerial Images-Reference-Cited by-同舟云学术

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A Fault Detection Method for Power Transmission Lines Using Aerial Images

Published:2024-06-04 Issue: Volume: Page:1247-1252
ISSN:
Container-title:2024 International Conference on Unmanned Aircraft Systems (ICUAS)
language:
Short-container-title:

Author:

Zhang Yulong¹,Cao Shaowei¹,Mu Lingxia¹,Xue Xianghong¹,Xin Jing¹,Zhang Youmin²

Affiliation:

1. School of Automation and Information Engineering, Xi'an University of Technology,Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing,Xi'an,Shaanxi,China,710048

2. Concordia University,Department of Mechanical, Industrial and Aerospace Engineering,Montreal,Quebec,Canada,H3G 1M8

Funder

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10556795/10556824/10556891.pdf?arnumber=10556891

Reference19 articles.

1. DSA-Net: An Attention-Guided Network for Real-Time Defect Detection of Transmission Line Dampers Applied to UAV Inspections

2. Attention-Guided Multitask Convolutional Neural Network for Power Line Parts Detection

3. A Recognition Technology of Transmission Lines Conductor Break and Surface Damage Based on Aerial Image

4. A Review on State-of-the-Art Power Line Inspection Techniques

5. Improved YOLOv5s model for key components detection of power transmission lines

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