Parameters Optimization of UAV for Insulator Inspection on Power Transmission Line

Author:

Yin Lin1,Hu Jing1,Wang Wenbin1,Zou Jiachen2ORCID,He Linxuan2,Xiong Zhou1,Liu Mingjun1,Li Fan1,Tu Youping2ORCID

Affiliation:

1. State Grid in Jiangxi Province and Power Company Ltd., Jiangxi, China

2. Beijing Key Laboratory of High Voltage and EMC, North China Electric Power University, Beijing, China

Funder

Research on UAV Intelligent Analysis Technology for Key Business Links of Transmission and Distribution Lines

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference23 articles.

1. Research on remote intelligent image recognition inspection technology for transmission lines;liu,2019

2. Research status of overhead line composite insulator field infared test;li;Water Resources and Power,2020

3. Spray image processing of composite insulators based on interval classification of uniformity measu;qiu;High Voltage Eng,2020

4. A novel color edge detection algorithm in RGB color space

5. Screening of Zero-Value Insulators Infrared Thermal Image Features Based on Binary Logistic Regression Analysis

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1. Summary of insulator defect detection based on deep learning;Electric Power Systems Research;2023-11

2. Research on defect recognition method of transmission line insulators;Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023);2023-10-27

3. Research on vision-based UAV power line detection technology;2023-07-28

4. CLAHE-Based Low-Light Image Enhancement for Robust Object Detection in Overhead Power Transmission System;IEEE Transactions on Power Delivery;2023-06

5. Overhead Line Insulator Type Classification Using YOLOv3 Architectures;2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA);2022-12-15

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