Staudter, Georg Alexander ; Öztürk, Tuğrul ; Martin, Daniel Michael ; Hartig, Jakob ; Molitor, Dirk Alexander ; Hoppe, Florian ; Anderl, Reiner ; Groche, Peter ; Pelz, Peter F. ; Weigold, Matthias (2021)
An Approach for Mastering Data-induced Conflicts in the Digital Twin Context.
In: International Journal of Product Lifecycle Management (IJPLM), 13 (1)
doi: 10.1504/IJPLM.2021.115698
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Decision-making highly relies on the accuracy and veracity of data. Therefore, redundant data acquisition and fusion has established but lack the ability to handle conflicting data correctly. Especially digital twins, which complement physical products with mathematical models, contribute to redundancy. Uncertainty propagates through the digital twin and provides the opportunity to check data for conflicts, to identify affected subsystems and to infer a possible cause. This work presents an approach that combines a digital twin with the ability of uncertainty propagation, conflict detection, processing and visualisation techniques for mastering data-induced conflicts. The capability of this method to identify and isolate faults was examined on a technical system with a multitude of sensors.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Staudter, Georg Alexander ; Öztürk, Tuğrul ; Martin, Daniel Michael ; Hartig, Jakob ; Molitor, Dirk Alexander ; Hoppe, Florian ; Anderl, Reiner ; Groche, Peter ; Pelz, Peter F. ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | An Approach for Mastering Data-induced Conflicts in the Digital Twin Context |
| Sprache: | Englisch |
| Publikationsjahr: | 17 Juni 2021 |
| Verlag: | Inderscience Enterprises Ltd. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | International Journal of Product Lifecycle Management (IJPLM) |
| Jahrgang/Volume einer Zeitschrift: | 13 |
| (Heft-)Nummer: | 1 |
| DOI: | 10.1504/IJPLM.2021.115698 |
| Kurzbeschreibung (Abstract): | Decision-making highly relies on the accuracy and veracity of data. Therefore, redundant data acquisition and fusion has established but lack the ability to handle conflicting data correctly. Especially digital twins, which complement physical products with mathematical models, contribute to redundancy. Uncertainty propagates through the digital twin and provides the opportunity to check data for conflicts, to identify affected subsystems and to infer a possible cause. This work presents an approach that combines a digital twin with the ability of uncertainty propagation, conflict detection, processing and visualisation techniques for mastering data-induced conflicts. The capability of this method to identify and isolate faults was examined on a technical system with a multitude of sensors. |
| Freie Schlagworte: | Data-induced conflicts, digital twin, error detection, soft sensor, uncertainty propagation |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionstechnik und Umformmaschinen (PtU) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > TEC Fertigungstechnologie DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 805: Beherrschung von Unsicherheit in lasttragenden Systemen des Maschinenbaus |
| Hinterlegungsdatum: | 30 Jun 2021 06:21 |
| Letzte Änderung: | 13 Dez 2021 08:01 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum