Predictive Maintenance in the Production of Steel Bars: A Data-Driven Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predictive Maintenance in the Production of Steel Bars: A Data-Driven Approach

Published:2021 Issue: Volume: Page:187-205
ISSN:2510-1528
Container-title:Information Fusion and Data Science
language:
Short-container-title:

Author:

Bethaz Paolo,Bampoula Xanthi,Cerquitelli Tania,Nikolakis Nikolaos,Alexopoulos Kosmas,Macii Enrico,van Wilgen Peter

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2940-2_9

Reference12 articles.

1. T. Cerquitelli, D.J. Pagliari, A. Calimera, L. Bottaccioli, E. Patti, A. Acquaviva, M. Poncino, Manufacturing as a data-driven practice: Methodologies, technologies, and tools, in Proceedings of the IEEE (2021)

2. J. Lee, H.D. Ardakani, S. Yang, B. Bagheri, Industrial big data analytics and cyber-physical systems for future maintenance & service innovation. Proc. CIRP 38, 3 (2015)

3. B. Xu, S.A. Kumar, Big data analytics framework for system health monitoring, in 2015 IEEE International Congress on Big Data (2015), pp. 401–408. https://doi.org/10.1109/BigDataCongress.2015.66

4. G.M. D’silva, A. Khan, Gaurav, S. Bari, Real-time processing of iot events with historic data using apache kafka and apache spark with dashing framework, in 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT) (2017), pp. 1804–1809. https://doi.org/10.1109/RTEICT.2017.8256910

5. D. Apiletti, C. Barberis, T. Cerquitelli, A. Macii, E. Macii, M. Poncino, F. Ventura, istep, an integrated self-tuning engine for predictive maintenance in industry 4.0, in IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, Melbourne, Australia, December 11-13, 2018, ed. by J. Chen, L.T. Yang (IEEE, 2018), pp. 924–931

Cited by 1 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. DS4ALL: All you need for democratizing data exploration and analysis;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

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