Digital Twin and Virtual Sensor for a Rotor System

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu


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.
OtsikkoProceedings of the 30th International DAAAM Symposium ''Intelligent Manufacturing & Automation''
KustantajaDAAAM International
ISBN (painettu)978-3-902734-22-8
DOI - pysyväislinkit
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational DAAM Symposium on Intelligent Manufacturing and Automation - Zadar, Kroatia
Kesto: 23 lokakuuta 201926 lokakuuta 2019
Konferenssinumero: 30


NimiAnnals of DAAAM and Proceedings
KustantajaDAAAM International
ISSN (painettu)1726-9679


ConferenceInternational DAAM Symposium on Intelligent Manufacturing and Automation

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