Recognition of Distribution Power Line Insulator Surface Defects Based on Convolutional Neural Networks
Author:
Affiliation:
1. School of Equipment and Environment Guangxi Polytechnic of Construction,Nanning,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502394/10502376/10503151.pdf?arnumber=10503151
Reference16 articles.
1. Temperature Monitoring for Electrical Substations Using Infrared Thermography: Architecture for Industrial Internet of Things
2. Intelligent Diagnosis of Incipient Fault in Power Distribution Lines Based on Corona Detection in UV-Visible Videos
3. Recognition of natural ice types on in-service glass insulators based on texture feature descriptor
4. High voltage outdoor insulator surface condition evaluation using aerial insulator images
5. Insulator Fault Detection Based on Spatial Morphological Features of Aerial Images
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