A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery

Published:2020-12 Issue: Volume:123 Page:103306
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Yang Yatao,Yang Runze,Pan Longhui,Ma Junxian,Zhu Yishuang,Diao Tao,Zhang Li

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference33 articles.

1. Deep learning for computer vision: a brief review;Athanasios;Comput. Intell. Neurosci.,2018

2. ImageNet: a large-scale hierarchical image database;Deng,2009

3. Enhanced image detection on an ARM based embedded system;Evans;Des. Autom. Embed. Syst.,2002

4. Research on Laser Welding Technology of Explosion-Proof Valves Based on Simulation of Temperature Field;Geng,2017

5. Deep residual learning for image recognition;He;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weld beads and defects automatic identification, localization, and size calculation based on a lightweight fully convolutional neural network;Optics & Laser Technology;2024-03

2. Determination of Joint Defects in Copper Tube Induction Heating Brazing Area Using Infrared Thermal Image Based on CNN Algorithm;International Journal of Precision Engineering and Manufacturing;2024-02-06

3. CNN-based classification of the laser assembly process for ultra-small batteries;Journal of Mechanical Science and Technology;2023-12

4. Automated quality evaluation for laser cutting in lithium metal battery production using an instance segmentation convolutional neural network;Journal of Laser Applications;2023-11-01

5. Deep Network-Assisted Quality Inspection of Laser Welding on Power Battery;Sensors;2023-11-01

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