Flashover Detection and Anomaly Prediction in Aerial Images of Insulator Strings in Complex Environments-Reference-Cited by-同舟云学术

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Flashover Detection and Anomaly Prediction in Aerial Images of Insulator Strings in Complex Environments

Published:2024 Issue: Volume:12 Page:94926-94935
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Liping¹^ORCID,Li Xiao¹,Zhao Junmei¹,Zhang Yewei²^ORCID,Zhang Qiang¹^ORCID

Affiliation:

1. School of Electrical and Control Engineering, North University of China, Taiyuan, China

2. School of Mechanical and Electrical Engineering, North University of China, Taiyuan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10587253.pdf?arnumber=10587253

Reference44 articles.

1. Real-Time Condition Monitoring of Transmission Line Insulators Using the YOLO Object Detection Model With a UAV

2. Research on edge intelligent recognition method oriented to transmission line insulator fault detection

3. High voltage outdoor insulator surface condition evaluation using aerial insulator images

4. Insulator Fault Detection in Aerial Images Based on Ensemble Learning With Multi-Level Perception

5. Localization of multiple insulators by orientation angle detection and binary shape prior knowledge

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