Bibliography
[1] VanDerHorn, E.; Mahadevan, S.: Digital Twin: Generalization, characterization and implementation. In: Decision Support Systems 145 (2021). DOI: https://doi.org/10.1016/j.dss.2021.113524[2] Stark, R.; Anderl, R.; Thoben, K.-D.; Wartzack, S.; Krause, F.-L.; Grässler, I.; Pottebaum, J.; Schleich, B.; Stelzer, R.; Hick, H.; Klein, P.; Saske, B.; Gerhard, D.; Czwick, C.; Gogineni, S.; Klimmeck, L.; Bajzek, M.; Jacobs, G.; Berroth, J.; Zimmermann, T.; Kranabitl, P.; Kirchner, E.; Göckel, N.: WiGeP-Positionspapier: „Digitaler Zwilling “. Zeitschrift für wirtschaftlichen Fabrikbetrieb 115 (2020). DOI: https://doi.org/10.1007/978-3-64235950-7_16870-1
[3] Melesse, T.Y.; Di Pasquale, V.; Riemma, S.: Digital Twin models in industrial operations: State‐of‐the‐art and future research directions. In: IET collob. intell. manuf. 3 (2021) 1. S. 37 – 47. DOI: https://doi.org/10.1049/cim2.12010
[4] Uhlemann, T.H.-J.; Lehmann, C.; Steinhilper, R.: The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0. In: Procedia CIRP 61 (2017). S. 335 – 340. DOI: https://doi.org/10.1016/j.procir.2016.11.152
[5] Rasheed, A.; San, O.; Kvamsdal, T.: Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. In: IEEE Access 8 (2020). S. 21980 – 22012. DOI: https://doi.org/10.1109/ AC – CESS.2020.2970143
[6] Güntner, G.; Hoher, S.: Digital Twins im Anlagen-Lebenszyklus. White Paper. Digital Transfer Zentrum–Salzburg (2020). URL: https://www.salzburgresearch.at/publikation/digital-twins-im-anlagen-lebens-zyklus/
[7] Alves de Araujo Junior, C.A.; Mauricio Villanueva, J.M.; Almeida, R.J.S.de; Azevedo de Medeiros, I.E.: Digital Twins of the Water Cooling System in a Power Plant Based on Fuzzy Logic. In: Sensors (Basel, Switzerland) 21 (2021). DOI: https://doi.org/10.3390/s21206737
[8] Lu, Q.; Xie, X.; Parlikad, A.K.; Schooling, J.M.: Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance. In: Automation in Construction 118 (2020). DOI: https://doi.org/10.1016/j.autcon.2020.103277
[9] Dawes, W.N.; Meah, N.; Kudryavtsev, A.; Evans, R.; Hunt, M.; Tiller, P.: Digital Geometry to Support a Gas Turbine Digital Twin. In: AIAA Scitech 2019 Forum (2019). DOI: https://doi.org/10.2514/6.2019-1715
[10] Wagner, C.; Grothoff, J.; Epple, U.; Drath, R.; Malakuti, S.; Gruner, S.; Hoffmeister, M.; Zimermann, P.: The role of the Industry 4.0 asset administration shell and the digital twin during the life cycle of a plant. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory (2017). DOI: https://doi.org/10.1109/ET-FA.2017.8247583
[11] Bergs, T.; Gierlings, S.; Augspurger, T.: Mit dem Digitalen Zwilling Prozessgrenzen überwinden. In: Internet of Production – Turning Data into Value: Statusberichte der Produktionstechnik (2020). S. 81 – 113. DOI: https://doi.org/10.24406/ipt-n-589615
[12] Pettey, C.: Prepare for the impact of digital twins. Gartner (2017). URL: https://www.gartner.com/smarterwithgartner/prepare-for-the-impact-of-digital-twins, Abrufdatum 17.08.2022
[13] Siltanen, P.; Karhela, T.; Woodward, C.; Savioja, P.: Augmented Reality for Plant Life cycle Management. In: 2007 IEEE International Technology Management Conference (ICE) (2007). S. 1 – 8.
[14] Siltanen, P.; Pärnänen, A.: Comparison of data models for plant lifecycle information management. In: Leading the Web in Concurrent Engineering (2006). S. 346 – 353.
