Industrial big data analytics and cyber-physical systems for future maintenance & service innovation

被引:265
作者
Lee, Jay [1 ]
Ardakani, Hossein Davari [1 ]
Yang, Shanhu [1 ]
Bagheri, Behrad [1 ]
机构
[1] Univ Cincinnati, NSF I UCRC Ctr Intelligent Maintenance Syst IMS, Cincinnati, OH 45221 USA
来源
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON THROUGH-LIFE ENGINEERING SERVICES | 2015年 / 38卷
基金
美国国家科学基金会;
关键词
Cyber-physical systems; industrial big data; predictive maintenance; intelligent maintenance systems;
D O I
10.1016/j.procir.2015.08.026
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries are facing new opportunities and at the same time challenges of maintaining their competency and market needs. Such integration, which is called Cyber-physical Systems (CPS), is transforming the industry into the next level. CPS facilitates the systematic transformation of massive data into information, which makes the invisible patterns of degradations and inefficiencies visible and yields to optimal decision-making. This paper focuses on existing trends in the development of industrial big data analytics and CPS. Then it briefly discusses a systematic architecture for applying CPS in manufacturing called 5C. The 5C architecture includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry. Finally, a case study for designing smart machines through the 5C CPS architecture is presented. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:3 / 7
页数:5
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