Golendukhina, Valentina und Wiesmayr, Bianca und Felderer, Michael (2024) A Review of Publicly Available Datasets from Manufacturing Systems. In: 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024, Seiten 1-8. 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024-09-10 - 2024-09-13, Padova, Italy. doi: 10.1109/ETFA61755.2024.10710865. ISBN 979-835036123-0. ISSN 1946-0740.
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Kurzfassung
Smart manufacturing systems adapt to changes in the environment, which are detected via sensors. Decisions are then made by the control software of such manufacturing systems, e.g., by integrated AI-based algorithms. The design and evaluation of such algorithms require the availability of high-quality datasets. This paper provides an overview of the existing publicly available manufacturing datasets, offering a detailed exploration of the current landscape of shared data resources in the manufacturing sector and highlighting the utility of these datasets. The review identifies nine notable datasets with extensive documentation and comprehensive data coverage. Each of these datasets is described in detail and can be used for developing intelligent manufacturing systems, assessing their quality, and reporting on open gaps.
elib-URL des Eintrags: | https://elib.dlr.de/211380/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | A Review of Publicly Available Datasets from Manufacturing Systems | ||||||||||||||||
Autoren: |
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Datum: | 2024 | ||||||||||||||||
Erschienen in: | 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/ETFA61755.2024.10710865 | ||||||||||||||||
Seitenbereich: | Seiten 1-8 | ||||||||||||||||
ISSN: | 1946-0740 | ||||||||||||||||
ISBN: | 979-835036123-0 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Dataset Control software Manufacturing systems Industry 4.0 | ||||||||||||||||
Veranstaltungstitel: | 29th IEEE International Conference on Emerging Technologies and Factory Automation | ||||||||||||||||
Veranstaltungsort: | Padova, Italy | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 10 September 2024 | ||||||||||||||||
Veranstaltungsende: | 13 September 2024 | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Digitale Transformation in der Raumfahrt [SY] | ||||||||||||||||
Standort: | Köln-Porz | ||||||||||||||||
Institute & Einrichtungen: | Institut für Softwaretechnologie | ||||||||||||||||
Hinterlegt von: | Felderer, Michael | ||||||||||||||||
Hinterlegt am: | 09 Jan 2025 13:27 | ||||||||||||||||
Letzte Änderung: | 10 Jan 2025 07:33 |
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