Pixel-Level Assessment Model of Contamination Conditions of Composite Insulators Based on Hyperspectral Imaging Technology and a Semi-Supervised Ladder Network-Reference-Cited by-同舟云学术

Pixel-Level Assessment Model of Contamination Conditions of Composite Insulators Based on Hyperspectral Imaging Technology and a Semi-Supervised Ladder Network

Published:2023-02 Issue:1 Volume:30 Page:326-335
ISSN:1070-9878
Container-title:IEEE Transactions on Dielectrics and Electrical Insulation
language:
Short-container-title:IEEE Trans. Dielect. Electr. Insul.

Author:

Kong Yixuan¹^ORCID,Liu Yunpeng¹^ORCID,Geng Jianghai¹,Huang Zhicheng¹^ORCID

Affiliation:

1. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding, China

Funder

Hebei Natural Science Foundation for Research on Contamination Assessment of Transmission Line Insulators

Ultraviolet (UV) Imaging Detection Based on Deep Learning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/94/10026623/09968030.pdf?arnumber=9968030

Reference31 articles.

1. Detection method of insulator contamination grades based on hyperspectral technique;qiu;High Voltage Technol,2019

2. Application of hierarchical extreme learning machine in prediction of insulator pollution degree using hyperspectral images;yang;J Southwest Jiaotong Univ,2020

3. An Extreme-Learning-Machine-Based Hyperspectral Detection Method of Insulator Pollution Degree

4. Contamination degree prediction of insulators based on hyperspectral imaging technology;li;J Southwest Jiaotong Univ,2019

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