Trends of Big Data Analytics and Cyber-Physical Systems in Industrial 4.0 Systems

摘要：

　　Rapid and correct decision-making in Big Data environment is one of the most important challenges that companies are facing in todays business world.But regardless of this significant requirement,lack of smart analytical tools has made manufacturing systems not ready to handle big data.As more intelligence is integrated in industrial products and manufacturing lines,smart algorithms with self-aware,self-predict,and self-configure capabilities can further transform manufacturing equipment and production system to achieve resilient and autonomously optimized productivity and services.This article addresses the application of cyber-physical systems for mechanical systems to bring transparency to Industry 4.0 factories in Big Data environment.

关键词： Big Data Cyber-Physical Systems Industry 4.0 Self-aware Prognostics

作者: Jay LEE Behrad BAGHERI

作者单位: University of Cincinnati,2600 Clifton Ave,Cincinnati,United States

会议类型: 国际会议

会议名称: The 5th International Conference on Mechanical Engineering and Mechanics(第五届国际机械工程与力学会议)

会议地点: 江苏扬州

会议语种:英文

页码: 25-29

在线出版日期: 2014-08-21（万方平台首次上网日期，不代表论文的发表时间）