Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis

Published:2024-08-29 Issue: Volume: Page:
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Zhang Huang,Wang Zili^ORCID,Zhang Shuyou,Qiu Lemiao,Wang Yang,Xiang Feifan,Pan Zhiwei,Zhu Linhao,Tan Jianrong

Funder

National Natural Science Foundation of China

Zhejiang Province Public Welfare Technology Application Research Project

Shaoxing Key Industrial Technology Research and Development Program Project of China

Natural Science Foundation of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10845-024-02471-7.pdf

Reference79 articles.

1. Autiosalo, J., Vepsäläinen, J., Viitala, R., & Kari, J. I. A. (2020). A feature-based framework for structuring industrial digital twins. IEEE Access, 8, 1193–1208. https://doi.org/10.1109/ACCESS.2019.2950507

2. Bi, Z., Zhang, C. W., Chong, W., & Li, L. (2022). New digital triad (DT-II) concept for lifecycle information integration of sustainable manufacturing systems. Journal of Industrial Information Integration, 26, 100316. https://doi.org/10.1016/j.jii.2021.100316

3. Biegel, T., Helm, P., Jourdan, N., & Metternich, J. (2024). SSMSPC: Self-supervised multivariate statistical in-process control in discrete manufacturing processes. Journal of Intelligent Manufacturing, 35, 2671–2698. https://doi.org/10.1007/s10845-023-02156-7

4. Chang, ZiHan, Yuan, W., & Huang, K. (2022). Remaining useful life prediction for rolling bearings using multi-layer grid search and LSTM. Computers and Electrical Engineering, 101, 108083. https://doi.org/10.1016/j.compeleceng.2022.108083

5. Cheng, K., Wang, Q., Yang, D., Dai, Q., & Wang, M. (2022). Digital-twins-driven semi-physical simulation for testing and evaluation of industrial software in a smart manufacturing system. Machines, 10(5), 388. https://doi.org/10.3390/machines10050388

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