A Transfer Learning-Based Method to Detect Insulator Faults of High-Voltage Transmission Lines via Aerial Images: Distinguishing Intact and Broken Insulator Images
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, USA
2. School of Applied Engineering and Technology, New Jersey Institute of Technology, Newark, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6745853/9920682/09920958.pdf?arnumber=9920958
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2. On-line detection method of insulator zero-value fault based on image features and YOLOv3 algorithm;Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023);2024-05-13
3. Real-time AI-based Fault Detection and Localization in Power Electronics Dominated Grids;2024 4th International Conference on Smart Grid and Renewable Energy (SGRE);2024-01-08
4. Insulator Defect Recognition Based on Vision Big‐Model Transfer Learning and Stochastic Configuration Network;IET Signal Processing;2024-01
5. Object Detection-Based Inspection of Power Line Insulators for Incipient Fault Detection;2024
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