Methods of image recognition of overhead power line insulators and ice types based on deep weakly‐supervised and transfer learning-Reference-Cited by-同舟云学术

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Methods of image recognition of overhead power line insulators and ice types based on deep weakly‐supervised and transfer learning

Published:2022-02-15 Issue:11 Volume:16 Page:2140-2153
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Hao Yanpeng¹,Liang Wei¹^ORCID,Yang Lin¹,He Jinqiang²,Wu Jianrong³

Affiliation:

1. School of Electric Power South China University of Technology Guangzhou China

2. Electric Power Research Institute China Southern Power Grid Company Limited Guangzhou China

3. Guizhou Electrical Science Institute China Southern Power Grid Company Limited Guizhou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12428

Reference46 articles.

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1. Research on equivalent ice thickness monitoring model of overhead transmission lines based on representative span;Journal of Physics: Conference Series;2024-08-01

2. Monitoring Method and Application of Icing Thickness and Icing Type of Distribution Network Overhead Line Based on A Hydrophobic Marker and Image Defogging;2024 IEEE 2nd International Conference on Power Science and Technology (ICPST);2024-05-09

3. The application of improved densenet algorithm in accurate image recognition;Scientific Reports;2024-04-15

4. Mixed phase measurement during icing process utilizing multi-wavelength interdigital sensor;Applied Thermal Engineering;2024-04

5. Semantic and Instance Segmentation in Coastal Urban Spatial Perception: A Multi-Task Learning Framework with an Attention Mechanism;Sustainability;2024-01-18

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