DP-GAN: A Transmission Line Bolt Defects Generation Network Based on Dual Discriminator Architecture and Pseudo-Enhancement Strategy-Reference-Cited by-同舟云学术

DP-GAN: A Transmission Line Bolt Defects Generation Network Based on Dual Discriminator Architecture and Pseudo-Enhancement Strategy

Published:2024-06 Issue:3 Volume:39 Page:1622-1633
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Zhang Ke¹^ORCID,Xiao Yangjie¹^ORCID,Wang Jiacun²^ORCID,Du Mingkun¹^ORCID,Guo Xiwang³^ORCID,Zhou Ruiheng¹^ORCID,Shi Chaojun¹^ORCID,Zhao Zhenbing¹^ORCID

Affiliation:

1. Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China

2. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

3. Computer and Communication Engineering College, Liaoning Shihua University, Fushun, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/61/10536629/10460192.pdf?arnumber=10460192

Reference43 articles.

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3. Box-Point Detector: A Diagnosis Method for Insulator Faults in Power Lines Using Aerial Images and Convolutional Neural Networks

4. IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging

5. Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks

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