Automatic Extraction Method of Weld Weak Defect Features for Ultra-High Voltage Equipment-Reference-Cited by-同舟云学术

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Automatic Extraction Method of Weld Weak Defect Features for Ultra-High Voltage Equipment

Published:2023 Issue:4 Volume:120 Page:985-1000
ISSN:0199-8595
Container-title:Energy Engineering
language:en
Short-container-title:

Author:

Zheng Guanghua,Luo Chaolin,Shen Mengen,Lv Wanzhong,Jiang Wenbo,Yang Weibo

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Energy Engineering and Power Technology,Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.techscience.com/energy/v120n4/51680/pdf

Reference35 articles.

1. Welding defect detection based on local image enhancement;Zhang;IET Image Processing,2019

2. Deep features based on a DCNN model for classifying imbalanced weld flaw types;Hou;Measurement,2019

3. An effective method of weld defect detection and classification based on machine vision;Sun;IEEE Transactions on Industrial Informatics,2019

4. Detection of defects in a welded joint by scanning contact potentiometry;Alwaheba;Nondestructive Testing and Evaluation,2021

5. Deep learning based steel pipe weld defect detection;Yang;Applied Artificial Intelligence,2021

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