A Cyber Physical Interface for Automation Systems—Methodology and Examples
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 incor...
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2015-05-01
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Online Access: | http://www.mdpi.com/2075-1702/3/2/93 |
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doaj-e70f2625073b4fd29fe8f4a38383dd7c2020-11-25T00:03:33ZengMDPI AGMachines2075-17022015-05-01329310610.3390/machines3020093machines3020093A Cyber Physical Interface for Automation Systems—Methodology and ExamplesHung-An KaoWenjing JinDavid SiegelJay LeeCyber 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.http://www.mdpi.com/2075-1702/3/2/93cyber physical systemadaptive algorithmshealth monitoring, ball screw |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hung-An Kao Wenjing Jin David Siegel Jay Lee |
spellingShingle |
Hung-An Kao Wenjing Jin David Siegel Jay Lee A Cyber Physical Interface for Automation Systems—Methodology and Examples Machines cyber physical system adaptive algorithms health monitoring, ball screw |
author_facet |
Hung-An Kao Wenjing Jin David Siegel Jay Lee |
author_sort |
Hung-An Kao |
title |
A Cyber Physical Interface for Automation Systems—Methodology and Examples |
title_short |
A Cyber Physical Interface for Automation Systems—Methodology and Examples |
title_full |
A Cyber Physical Interface for Automation Systems—Methodology and Examples |
title_fullStr |
A Cyber Physical Interface for Automation Systems—Methodology and Examples |
title_full_unstemmed |
A Cyber Physical Interface for Automation Systems—Methodology and Examples |
title_sort |
cyber physical interface for automation systems—methodology and examples |
publisher |
MDPI AG |
series |
Machines |
issn |
2075-1702 |
publishDate |
2015-05-01 |
description |
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. |
topic |
cyber physical system adaptive algorithms health monitoring, ball screw |
url |
http://www.mdpi.com/2075-1702/3/2/93 |
work_keys_str_mv |
AT hungankao acyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT wenjingjin acyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT davidsiegel acyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT jaylee acyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT hungankao cyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT wenjingjin cyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT davidsiegel cyberphysicalinterfaceforautomationsystemsmethodologyandexamples AT jaylee cyberphysicalinterfaceforautomationsystemsmethodologyandexamples |
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1725433356925009920 |