Constellation-based robotic visual servoing method for fault diagnosis of used printed circuit board assemblies

IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Bence Tipary , Gábor Erdős (2) , Zsolt Kemény
{"title":"Constellation-based robotic visual servoing method for fault diagnosis of used printed circuit board assemblies","authors":"Bence Tipary ,&nbsp;Gábor Erdős (2) ,&nbsp;Zsolt Kemény","doi":"10.1016/j.cirp.2025.04.080","DOIUrl":null,"url":null,"abstract":"<div><div>The mainstream of diagnostic approaches of printed circuit board assemblies is optimised for large-scale industrial production, and is less suited for repair and maintenance during later stages of the product life-cycle. Main challenges include sparse documentation, small batch sizes and high product diversity, to which existing solutions are too costly, bulky or parameter-sensitive for industrial use. The paper presents a novel approach using computer vision, visual servoing and digital twins for robotic positioning of a measuring probe head. Subject to patent application, the method has proven its feasibility and affordability in live industrial practice with 99.80% success rate.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 43-47"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirp Annals-Manufacturing Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000785062500126X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

Abstract

The mainstream of diagnostic approaches of printed circuit board assemblies is optimised for large-scale industrial production, and is less suited for repair and maintenance during later stages of the product life-cycle. Main challenges include sparse documentation, small batch sizes and high product diversity, to which existing solutions are too costly, bulky or parameter-sensitive for industrial use. The paper presents a novel approach using computer vision, visual servoing and digital twins for robotic positioning of a measuring probe head. Subject to patent application, the method has proven its feasibility and affordability in live industrial practice with 99.80% success rate.
基于星座的机器人视觉伺服在印制板组件故障诊断中的应用
印刷电路板组件的主流诊断方法是针对大规模工业生产进行优化的,不太适合产品生命周期后期的维修和维护。主要的挑战包括稀疏的文档、小批量和高产品多样性,现有的解决方案对于工业用途来说过于昂贵、笨重或对参数敏感。本文提出了一种利用计算机视觉、视觉伺服和数字孪生技术实现测量探头机器人定位的新方法。经专利申请,该方法在现场工业实践中证明了其可行性和可承受性,成功率达99.80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cirp Annals-Manufacturing Technology
Cirp Annals-Manufacturing Technology 工程技术-工程:工业
CiteScore
7.50
自引率
9.80%
发文量
137
审稿时长
13.5 months
期刊介绍: CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信