Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine

Emil Kurvinen, Antero Kutvonen, Juhani Ukko, Qasim Khadim, Yashar Shabbouei Hagh, Suraj Jaiswal, Neda Neisi, Victor Zhidchenko, Juha Kortelainen, Mira Timperi, Kirsi Kokkonen, Juha Virtanen, Akhtar Zeb, Ville Lämsä, Vesa Nieminen, Jukka Junttila, Mikko Savolainen, Tuija Rantala, Tiina Valjakka, Ilkka DonoghueKalle Elfvengren, Mina Nasiri, Tero Rantala, Ilya Kurinov, Eerik Sikanen, Lauri Pyrhönen, Lea Hannola, Heikki Handroos, Hannu Rantanen, Minna Saunila, Jussi Sopanen, Aki Mikkola

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)


Real-world products and physics-based simulations are becoming interconnected. In particular, real-time capable dynamic simulation has made it possible for simulation models to run in parallel and simultaneously with operating machinery. This capability combined with state observer techniques such as Kalman filtering have enabled the synchronization between simulation and the real world. State estimator techniques can be applied to estimate unmeasured quantities, also referred as virtual sensing, or to enhance the quality of measured signals. Although synchronized models could be used in a number of ways, value creation and business model development are currently defining the most practical and beneficial use cases from a business perspective. The research reported here reveals the communication and collaboration methods that lead to economically relevant technology solutions. Two case examples are given that demonstrate the proposed methodology. The work benefited from the broad perspective of researchers from different backgrounds and the joint effort to drive the technology development towards business relevant cases.
Original languageEnglish
Pages (from-to)45962-45978
Number of pages17
JournalIEEE Access
Publication statusPublished - 25 Apr 2022
MoE publication typeA1 Journal article-refereed


  • Computational modeling
  • Digital twin
  • Finite element analysis
  • Finite Element Method
  • Kalman Filter
  • Kalman filters
  • Mathematical models
  • Multibody simulation
  • Parameter estimation
  • Physics-based simulation
  • Predictive models
  • Real-time systems
  • State estimation


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