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Machines 2015, 3(2), 93-106; doi:10.3390/machines3020093

A Cyber Physical Interface for Automation Systems—Methodology and Examples

NSF I/UCRC for Intelligent Maintenance Systems-University of Cincinnati, P.O. Box 210072, Cincinnati, OH 45221-0072, USA
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Academic Editor: David Mba
Received: 4 May 2014 / Accepted: 4 May 2015 / Published: 14 May 2015
(This article belongs to the Special Issue Advances and Challenges in Manufacturing Automation)
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Abstract

Cyber physical systems (CPS) in a manufacturing and automation context can be referred to different manufacturing process, including design, simulation, control, and verification. However, for data analytics, the concept of CPS is relatively new, and a standard methodology is lacking on how to incorporate this type of interface for automation applications. This study discusses a modeling methodology for a cyber physical interface and presents the five levels of information for a cyber physical system, that range from the data connection level to the system configuration level. In order to achieve this awareness and health state of the machine and system, a technical approach that uses adaptive health monitoring algorithms is presented. Lastly, an experimental study on a machine tool ball screw is highlighted, in which a predictive model and a cyber physical interface is developed for this application. The outcomes from this study demonstrate that machine health state awareness is feasible, and the core technologies can aim mechanical systems systematically develop its CPS. This can lead to additional product revenue for the manufacturers, and also a potential competitive edge in the market place. View Full-Text
Keywords: cyber physical system; adaptive algorithms; health monitoring, ball screw cyber physical system; adaptive algorithms; health monitoring, ball screw
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kao, H.-A.; Jin, W.; Siegel, D.; Lee, J. A Cyber Physical Interface for Automation Systems—Methodology and Examples. Machines 2015, 3, 93-106.

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