Deep convolutional neural network for weld defect classification in radiographic images

Author:

Palma-Ramírez Dayana,Ross-Veitía Bárbara D.,Font-Ariosa Pablo,Espinel-Hernández Alejandro,Sanchez-Roca Angel,Carvajal-Fals Hipólito,Nuñez-Alvarez José R.ORCID,Hernández-Herrera Hernan

Publisher

Elsevier BV

Reference76 articles.

1. Engineering Challenges Associated with Welding Field Repairs, Engineering Principles-Welding and Residual Stresses;McPheron,2022

2. Effect of zinc coating on delay nugget formation in dissimilar DP600-AISI304 welded joints obtained by the resistance spot welding process;Pérez de la Parte;Int. J. Adv. Des. Manuf. Technol.,2022

3. Application and use of different aluminium alloys with respect to workability, strength and welding parameter optimization;Varshney;Ain Shams Eng. J.,2021

4. A tutorial on deep learning-based data analytics in manufacturing through a welding case study;Wang;J. Manuf. Process.,2021

5. Non-destructive testing (NDT) techniques for low carbon steel welded joints: a review and experimental study;Deepak;Mater. Today: Proc.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3