Aalto ARotor Lab
The ARotor laboratory is a full scale rotor laboratory with facilities to manufacture and investigate rotors of up to 25,000 kg. In close cooperation with our industrial partners, we have a history of large rotating machinery related research projects from three decades. Our activities include rotordynamic design, modelling and simulation; rotor manufacture; rotor geometry and rotor dynamics measurement in full scale; condition monitoring; and bearing and sealing systems.
ARotor laboratory research projects
This page summarizes the research projects at ARotor laboratory.
Latest publications
Regulatory requirement classification and semantic verification for model-based ship design
Haitham Al-Shami, Riku Ala-Laurinaho, Raine Viitala
2026
Ocean Engineering
Experimental Investigation of Torsional Wire Rope Isolators
Oliver Häggman, Samuli Rytömaa, Sampo Haikonen, Olli Malmi, Raine Viitala
2026
Proceedings of the 12th IFToMM International Conference on Rotordynamics - Volume 1
Roll contribution estimation from thickness variation
Sampo Haikonen, Juha Jokisaari, Raine Viitala
2026
Measurement
Outlier Insensitive Shaft Torque Estimation for Powertrains Using Convex Optimization
Urho Hakonen, Oliver Häggman, Aksel Ilveskero, Raine Viitala
2026
Proceedings of the 12th IFToMM International Conference on Rotordynamics - Volume 1
Torque Reconstruction for a Full-Scale Maritime Powertrain Using Trend Estimation
Urho Hakonen, Mikael Manngård, Sampo Laine, Raine Viitala
2026
IEEE/ASME Transactions on Mechatronics
Building Trustworthy AI Systems for Condition Monitoring
Aleksanteri Hämäläinen, Aku Karhinen, Raine Viitala
2026
IEEE Access
Design of a biaxial foundation stiffness adjustment device
Aksel Ilveskero, Sampo Laine, Luke Harding, Mikael Miettinen, Raine Viitala
2026
Simultaneous Input and State Estimation for Powertrains Using Moving Horizon Estimation
Aksel Ilveskero, Urho Hakonen, Raine Viitala
2026
Proceedings of the 12th IFToMM International Conference on Rotordynamics - Volume 1
Comparing Rotational Speed and Acceleration Signals for Normal Operating State Detection in an Internal Combustion Engine
Jukka Junttila, Christer Söderström, Leonardo Espinosa-Leal, Raine Viitala
2026
Proceedings of the 12th IFToMM International Conference on Rotordynamics - Volume 1
Data-driven torsional vibration-based fault diagnosis of large internal combustion engines without real fault data
Aku Karhinen, Aleksanteri Hämäläinen, Cesare Palestini, Ville Kyrki, Raine Viitala
2026
Engineering Applications of Artificial Intelligence