Název:	Digital Twins and AI in Smart Motion Control Applications
Autoři:	Čech, Martin Beltman, Arend-Jan Ozols, Kaspars
Citace zdrojového dokumentu:	ČECH, M. BELTMAN, A. OZOLS, K. Digital Twins and AI in Smart Motion Control Applications. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022. New York: IEEE, 2022. s. nestránkováno. ISBN: 978-1-66549-996-5 , ISSN: 1946-0740
Datum vydání:	2022
Nakladatel:	IEEE
Typ dokumentu:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85141412206 http://hdl.handle.net/11025/51461
ISBN:	978-1-66549-996-5
ISSN:	1946-0740
Klíčová slova v dalším jazyce:	smart system integration;mechatronics;motion control;digital twin;electronics systems;wireless communication;smart sensors;robotics;embedded systems;machine learning;artificial intelligence;cyber-physical systems
Abstrakt v dalším jazyce:	Recently, smart system integration was identified as a key competence for optimizing machines and robots. However, when one wants to ’tune’ the entire production process a step further is necessary. We should evaluate performance indicators (e.g. energy and material consumption) over the whole machine life cycle in order to align the production with circular economy principles. To reach that target MBSE (model-based system engineering) should be covered by advanced digital twin approaches which allow continuous monitoring of machine performance, predict the failures and maintenance. Moreover, artificial intelligence and machine learning must be used to process big data sets gathered from the production lines. This paper identifies a common set of technologies and building blocks suitable to solve above mentioned problems for a large variety of industrial domains (semiconductor production, health-care robotics, CNC 1 machining, high-speed packaging and others). It presents the first results of the large-scale IMOCO4.E 2 project and shows the pathways for application of the technology on specific machines (so-called pilots). The authors believe the ideas presented could be inspiring also in other domains.
Práva:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © IEEE
Vyskytuje se v kolekcích:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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