Raine Viitala

Raine Viitala

Assistant Professor
Assistant Professor
T212 Department of Energy and Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...
Postal address
Puumiehenkuja 5 02150 Espoo Finland
Phone number
+358505221560

Publications

Roll contribution estimation from thickness variation

Sampo Haikonen, Juha Jokisaari, Raine Viitala 2026 Measurement

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

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

Correlations Between Eddy Current Probe Responses and Areal Surface Roughness Parameters

Kalle Kinnunen, Raine Viitala 2026 IEEE/ASME Transactions on Mechatronics

Eddy current sensor-based direct tool condition monitoring in milling

Kalle Kinnunen, Raine Viitala 2026 Measurement

Tool Condition Monitoring from Workpiece Surface Using an Eddy Current Probe

Kalle Kinnunen, Raine Viitala 2026 IEEE Sensors Journal

Paradigm shift in mechanical system design : toward automated and collaborative design with digital twin web

Riku Ala-Laurinaho, Juuso Autiosalo, Sampo Laine, Urho Hakonen, Raine Viitala 2025 Software and Systems Modeling

TWINTORSION - OPEN SOURCE PLATFORM FOR EVALUATING TORSIONAL VIBRATION EMPLOYING DIGITAL TWIN WEB

Riku Ala-Laurinaho, Albert Dömötör, Sampo Laine, Raine Viitala 2025 Proceedings of the 39th ECMS International Conference on Modelling and Simulation, ECMS 2025