Digital Twin-Driven Design for Product Control System

He, Bin; Li, Teng-Yu; Xiao, Jinglong

doi:10.1007/978-3-030-96802-1_3

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…The digital twins have been used in different domains such as design [12], logistics management [13], production management [14], maintenance [15], etc. Several works have focused on maintenance.…”

Section: Related Workmentioning

confidence: 99%

A Smart Decision Making System for the Optimization of Manufacturing Systems Maintenance using Digital Twins and Ontologies

Abadi¹,

Abadi²,

Abadi³

et al. 2022

IJACSA

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Now-a-days manufacturing processes are becoming more and more complex which constantly complicate the management of their life cycle. Although, in order to survive and maintain a good position in the competitive industrial context, industrials have understood that they must optimize the whole life cycle of their manufacturing processes. The maintenance constitutes one of the key processes indispensable to ensure the proper functioning and to optimize the lifetime of machines and production lines, and thus to optimize quality and production costs. Therefore, its automation and optimization represent until now a center of interest for researches and manufacturers, especially those related to the integration of artificial intelligence tools in the industry. In this context, several new concepts and technologies have emerged, particularly in the context of industry 4.0. One of these new concepts is digital twins, which has become a promising direction to optimize manufacturing processes lifecycle. However, the implementation of this technology faces several complex problems related to the interoperability between physical entities and their virtual counterparts, as well as to the logical reasoning between the different elements constituting the digital twin. It is in this context that an approach based on digital twins and ontologies is proposed. The originality of this paper lies in two important points: the first is the exploitation of the expressiveness and reasoning capabilities of ontologies to solve cyber-physical interoperability problems at the digital twin level, while the second is the automation of the whole maintenance process and its decision making key points using the inference potentialities of ontologies. The applicability and effectiveness of the proposed approach is validated through an industrial case of study.

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Section: Related Workmentioning

confidence: 99%

A Smart Decision Making System for the Optimization of Manufacturing Systems Maintenance using Digital Twins and Ontologies

Abadi¹,

Abadi²,

Abadi³

et al. 2022

IJACSA

View full text Add to dashboard Cite

show abstract

“…They can be interfaced with hardware when partial plant hardware is available (i.e., hardware-in-the-loop [HIL]), and coupled to other models such as of external process variables. For example, a digital twin model and a HIL simulation were combined to design a lifting control system for a jackup rig prototype [75]. The digital twin model was used to optimize the control system design, and the HIL simulation was used to test the prototype control system, based on the digital twin model.…”

Section: Digital Twin In Controlmentioning

confidence: 99%

Integration of Control Methods and Digital Twins for Advanced Nuclear Reactors

Rashdan

Farber

Coelho

et al. 2022

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Advanced nuclear reactors offer a new set of features to energy generation, due to their ability to adapt to variable energy demand, operate autonomously, be deployed in rural locations and monitored remotely, afford compact size and lower power ratings, and rely on novel technologies to achieve safer operations. Thus, a requirement for the success of these reactors is the use of intelligent forms of control to track changing power demands, make autonomous decisions, and reduce the need for human involvement. vii

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