Improving image-based weld defects detection under interference information via a novel semantic supervision strategy-Reference-Cited by-同舟云学术

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Improving image-based weld defects detection under interference information via a novel semantic supervision strategy

Published:2024-08-30 Issue: Volume: Page:1-17
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Yang Biao¹,Wang Wei¹,Chen Guoqing¹,Liu Fuyun¹,Han Xiaohui²,Chen Bo¹,Song Xiaoguo¹,Tan Caiwang¹

Affiliation:

1. State Key Laboratory of Precision Welding & Joining of Materials and Structures, Harbin Institute of Technology, Harbin, China

2. Research Center for Hing-speed EMU, China Railway Rolling Stock Qingdao Sifang Co. Ltd, Qingdao, China

Funder

Natural Science Foundation for Excellent Young Scholars of Shandong Province

Taishan Scholars Foundation of Shandong Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2397706

Reference24 articles.

1. Mode transition analysis of a turbine-based combined-cycle considering ammonia injection pre-compressor cooling and variable-geometry ram-combustor

2. Effect of laser fusion repair on the microstructure and properties of stainless steel laser welds

3. Real-time seam tracking during narrow gap GMAW process based on the wide dynamic vision sensing method

4. Detection method of the neutral temperature in continuous welded rails based on nonlinear ultrasonic guided waves

5. Enhanced defect detection in radiography images of welded objects

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