News

Improving rotating machinery with a digital twin

Collecting data from a fleet of installed products can improve condition monitoring and predictive maintenance services.
twinrotor_kuvituskuva700x400_en_en.jpg

Embedded sensors and actuators combined with modern networking, cloud, and machine learning technologies made it possible to collect and analyze massive amounts of data reflecting the use of industrial products. This data explosion provides obvious opportunities to optimize the operation of products and systems in terms of energy consumption, material usage, or quality control. Collecting data from a fleet of installed products can improve condition monitoring and predictive maintenance services as well as further value adding services. 

In the research project the behavior of rotating machinery will be improved using a digital twin coupled with Industrial Internet methods to support enhanced data flow between the machinery, simulation based virtual sensors, and applied big data analytics. This will lead to insights into how the rotating machinery design can be improved, in addition to better operational efficiency of the machinery and enhanced quality of the products manufactured with them. The wider scientific objective is to study how Industrial Internet methodologies coupled with machine learning can be applied especially to complex engineering design.

The project Digital Twin of Rotor System is funded by the Academy of Finland and lasts until the end of 2019. The project is conducted together with Lappeenranta University of Technology. 

Contact:
Aalto Industrial Internet Campus
Professor Petri Kuosmanen 
[email protected]

  • Published:
  • Updated:

Read more news

Designer Noora Yau's shimmering wood chrystals. Photo: Mikko Raskinen
Campus, Research & Art Published:

From space technology and shimmering wood to shapeshifting textiles – explore world-changing research in the brand new Marsio building

The Makers of the Impossible exhibition and the Designs for a Cooler Planet festival will kick off the autumn season at Marsio – Aalto University’s brand new, open-to-all campus venue.
SGT24, Participatory outdoor planning as a valuable tool for building trust with local people, Brazil-2024. Source: Karolin Kull
Research & Art, Studies, University Published:

Transforming interdisciplinary education: Sustainable Global Technologies (SGT) across four continents

The true impact of our actions often unfolds over time, as demonstrated by the students at the SGT FAIR’24 on May 22. Their work showcased how a single student challenge can drive significant change.
White fox walking in winter landscape, technological elements in background with text LUMI
Research & Art Published:

CEST researchers receive significant LUMI supercomputing resources

Read how two successful machine learning projects got support by a supercomputer
Publication icon
Research & Art Published:

Publication Forum seeks new panellists for term 2025-2028

If you are interested in becoming a panel member of the Publication Forum (Julkaisufoorumi, Jufo), apply by 15.6.2024.