Digital Twin Technology Challenges and Applications: A Comprehensive Review

Botín-Sanabria, DM; Mihaita, S; Peimbert-García, RE; Ramírez-Moreno, MA; Ramírez-Mendoza, RA; Lozoya-Santos, JDJ

Digital Twin Technology Challenges and Applications: A Comprehensive Review

Botín-Sanabria, DM Mihaita, S Peimbert-García, RE Ramírez-Moreno, MA Ramírez-Mendoza, RA Lozoya-Santos, JDJ

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Remote Sensing, 2022, 14, (6)
Issue Date:: 2022-03-01

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Field	Value	Language
dc.contributor.author	Botín-Sanabria, DM
dc.contributor.author	Mihaita, S
dc.contributor.author	Peimbert-García, RE
dc.contributor.author	Ramírez-Moreno, MA
dc.contributor.author	Ramírez-Mendoza, RA
dc.contributor.author	Lozoya-Santos, JDJ
dc.date.accessioned	2023-01-10T22:10:25Z
dc.date.available	2023-01-10T22:10:25Z
dc.date.issued	2022-03-01
dc.identifier.citation	Remote Sensing, 2022, 14, (6)
dc.identifier.issn	2072-4292
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/164817
dc.description.abstract	A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Remote Sensing
dc.relation.isbasedon	10.3390/rs14061335
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.title	Digital Twin Technology Challenges and Applications: A Comprehensive Review
dc.type	Journal Article
utslib.citation.volume	14
utslib.for	0203 Classical Physics
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	open_access	*
dc.date.updated	2023-01-10T22:10:18Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	14
utslib.citation.issue	6

Abstract:

A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

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http://hdl.handle.net/10453/164817