Dynamic digital twin for predictive maintenance in flexible production systems

Barthelmey, A; Lee, E; Hana, R; Deuse, J

Dynamic digital twin for predictive maintenance in flexible production systems

Barthelmey, A Lee, E Hana, R Deuse, J

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IECON Proceedings (Industrial Electronics Conference), 2019, 2019-October, pp. 4209-4214
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Barthelmey, A
dc.contributor.author	Lee, E
dc.contributor.author	Hana, R
dc.contributor.author	Deuse, J
dc.date	2019-10-14
dc.date.accessioned	2020-06-15T22:30:57Z
dc.date.available	2020-06-15T22:30:57Z
dc.date.issued	2019-10-01
dc.identifier.citation	IECON Proceedings (Industrial Electronics Conference), 2019, 2019-October, pp. 4209-4214
dc.identifier.isbn	9781728148786
dc.identifier.issn	1553-572X
dc.identifier.issn	2577-1647
dc.identifier.uri	http://hdl.handle.net/10453/141435
dc.description.abstract	© 2019 IEEE. Technical innovations to improve production systems flexibility have been extensively investigated and are already available to industrial practice. However, the production companies' internal structures and processes must also meet these flexibility requirements in order for system adjustments to be efficiently carried out. Due to the direct influence on availability, performance and quality losses, maintenance is particularly relevant. Therefore, this paper considers the effects of flexibility on the promising strategy of predictive maintenance. With the digital twin, its update service and a labelling interface, the essential components of a predictive maintenance system for flexible production systems are introduced in detail. This application is based on a reference plant in the form of a flexible hybrid assembly system. The outlook discusses the transferability to other industrial use cases.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IECON Proceedings (Industrial Electronics Conference)
dc.relation.ispartof	Annual Conference of the IEEE Industrial Electronics Society
dc.relation.isbasedon	10.1109/IECON.2019.8927397
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Dynamic digital twin for predictive maintenance in flexible production systems
dc.type	Conference Proceeding
utslib.citation.volume	2019-October
utslib.location.activity	Lisbon, Portugal
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/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-15T22:30:54Z
pubs.finish-date	2019-10-17
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2019-10-14
pubs.volume	2019-October
dc.location	Piscataway, USA

Abstract:

© 2019 IEEE. Technical innovations to improve production systems flexibility have been extensively investigated and are already available to industrial practice. However, the production companies' internal structures and processes must also meet these flexibility requirements in order for system adjustments to be efficiently carried out. Due to the direct influence on availability, performance and quality losses, maintenance is particularly relevant. Therefore, this paper considers the effects of flexibility on the promising strategy of predictive maintenance. With the digital twin, its update service and a labelling interface, the essential components of a predictive maintenance system for flexible production systems are introduced in detail. This application is based on a reference plant in the form of a flexible hybrid assembly system. The outlook discusses the transferability to other industrial use cases.

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http://hdl.handle.net/10453/141435