A tensor‐based hierarchical process monitoring approach for anomaly detection in additive manufacturing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A tensor‐based hierarchical process monitoring approach for anomaly detection in additive manufacturing

Published:2022-10-26 Issue:2 Volume:39 Page:630-650
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Yang Wei¹^ORCID,Grasso Marco²,Colosimo Bianca Maria²,Paynabar Kamran¹

Affiliation:

1. H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta Georgia USA

2. Dipartimento di Meccanica Politecnico di Milano Milan Italy

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3223

Reference29 articles.

1. Additive Manufacturing Applications in Industry 4.0: A Review

2. YangW ChenJ PaynabarK ZhangC.Identifying the cyber‐incidents in additive manufacturing systems via multimedia signals. In:2020 International Symposium on Flexible Automation.2020.

3. In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

4. In-situ measurement and monitoring methods for metal powder bed fusion: an updated review

5. Online detection of cyber‐incidents in additive manufacturing systems via analyzing multimedia signals

Cited by 3 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. Personalized feature extraction for manufacturing process signature characterization and anomaly detection;Journal of Manufacturing Systems;2024-06

2. Multi‐objective Bayesian modeling and optimization of 3D printing process via experimental data‐driven method;Quality and Reliability Engineering International;2024-02-26

3. The ENBIS‐21 quality and reliability engineering international special issue;Quality and Reliability Engineering International;2023-01-24

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