Digital Twin and Virtual Sensor for a Rotor System

Tuomas Tiainen, Jesse Miettinen, Raine Viitala, Kari Hiekkanen, Petri Kuosmanen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 Citations (Scopus)


A digital twin test bench was created to demonstrate the digital twin concept for control and prediction of the dynamic behavior of a paper machine roll. The paper presents a complete proof of concept digital twin system with wireless sensoring with flexible measurement patterns, data transfer, storage and visualization in an interactive 3D view. A virtual sensor based on a recurrent neural network was created to predict the middle cross section center point movement of a large flexible rotor based on acceleration and force input measured from bearing housings at the ends of the rotor. The results show that a neural network algorithm is feasible for predicting the dynamic behaviour of the rotor system. Future research at Aalto University aims to apply sensor fusion data as input to non-physics based models with the goal to predict key performance indicators of complex mechanical systems.
Original languageEnglish
Title of host publicationProceedings of the 30th International DAAAM Symposium ''Intelligent Manufacturing & Automation''
PublisherDAAAM International
ISBN (Print)978-3-902734-22-8
Publication statusPublished - 2019
MoE publication typeA4 Conference publication
EventInternational DAAAM Symposium on Intelligent Manufacturing and Automation - Zadar, Croatia
Duration: 23 Oct 201926 Oct 2019
Conference number: 30

Publication series

NameAnnals of DAAAM and Proceedings
PublisherDAAAM International
ISSN (Print)1726-9679


ConferenceInternational DAAAM Symposium on Intelligent Manufacturing and Automation


  • digital twin
  • virtual sensor
  • rotor system


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