Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment

被引:186
作者
Bagheri, Behrad [1 ]
Yang, Shanhu [1 ]
Kao, Hung-An [1 ]
Lee, Jay [1 ]
机构
[1] Univ Cincinnati, Ctr Intelligent Maintenance Syst, Cincinnati, OH USA
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 03期
关键词
Cyber-Physical Systems; industry; 4.0; Prognostics and Health Management; Iintelligent Diagnostic Methodologies; Predictive Maintenance; Failure Prognostic;
D O I
10.1016/j.ifacol.2015.06.318
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The recently emerged methodologies for interconnected systems such as cyber-physical systems are focused to closely monitor the information and synchronize it between the physical connected systems and cyber computational space. Depending on the physical system being monitored, the approach for designing and implementing the framework for interconnect systems might differ. In manufacturing industry, utilizing advanced analytics over a systematic deployment of cyber-physical system provides network of machines with ability to perform more efficiently, collaboratively and resiliently. Such transformation can takes the manufacturing industry into the next level of evolution namely called Industry 4.0. In this paper, a unified framework for integrating CPS in manufacturing is presented. Then an adaptive clustering method as an advanced analytical method for interconnected systems will be described and at the end of the paper a case study of self-aware machines by CPS integration is presented. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1622 / 1627
页数:6
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