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Ville Lämsä
Observed names:
V Lämsä,
V. Lamsa,
V. Lämsä,
Ville Lamsa,
Ville S. Lämsä
Institution:
Digital, Internet, Materials and Engineering Co-Creation
Observed institutions:
Digital, Internet, Materials and Engineering Co-Creation,
VTT Technical Research Centre of Finland,
Aalto University
ORCID:
0000-0001-9191-1018
Observed ORCID:
0000-0001-9191-1018
OpenAlex ID:
A5017209461
Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine
2022
·
Emil Kurvinen
, Antero Kutvonen
, et al.
·
IEEE Access
·
42
PDF
knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0
2021
·
Sergio Alvarez-Napagao
, Boki Ashmore
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
27
Digital Twin: Multi-dimensional Model Reduction Method for Performance Optimization of the Virtual Entity
2020
·
Ananda Chakraborti
, Arttu Heininen
, et al.
·
Procedia CIRP
·
18
PDF
Hybrid methodology development for lubrication regimes identification based on measurements, simulation, and data clustering
2024
·
J. Tervo
, J. Junttila
, et al.
·
Tribology International
·
17
Novelty detection by nonlinear factor analysis for structural health monitoring
2010
·
V. Lamsa
, T. Raiko
·
Machine learning for signal processing ...
·
15
Vibration-based structural health monitoring using large sensor networks
2010
·
A. Deraemaeker
, A. Preumont
, et al.
·
Smart Structures and Systems
·
13
Nonlinear Factor Analysis in Structural Health Monitoring to Remove Environmental Effects
2007
·
Ville Lämsä
, Jyrki Kullaa
·
11
Estimation of Unmeasurable Vibration of a Rotating Machine Using Kalman Filter
2022
·
Neda Neisi
, Vesa Nieminen
, et al.
·
Machines
·
8
PDF
Robust lightweight design and digital twins considering manufacturing quality variation and sustainability requirements
2022
·
Petteri Kokkonen
, Björn Hemming
, et al.
·
Rakenteiden Mekaniikka
·
4
PDF
Spectral factors and medical parameters of EMG signals
2006
·
T. Gronfors
, T. Sihvonen
, et al.
·
International Conference on Advances in Medical, Signal and Information Processing (MEDSIP)
·
4
Marine Propeller-Ice Interaction Simulation and Blade Flexibility Effect on Contact Load
2015
·
Aki Kinnunen
, Ville Lämsä
, et al.
·
Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions
·
2
Extreme Learning Machine-Based Operational State Recognition: A Feasibility Study with Mechanical Vibration Data
2023
·
Jukka Junttila
, Ville S. Lämsä
, et al.
·
Proceedings in adaptation, learning and optimization
·
1
Validation of Simulated Mechanical Vibration Data for Operational State Recognition System
2022
·
Jukka Junttila
, Anssi Sillanpaa
, et al.
·
IEEE International Conference on Information Reuse and Integration (IRI)
·
1
Benefits, advantages, added values & enabled business opportunities through digital twins, digital twin platforms and digital threads
2019
·
Ville Lämsä
, Vesa Nieminen
·
1
Smart sensing for structural health monitoring (S3HM)
2008
·
V Lämsä
, W Ostachowicz
, et al.
·
CRC Press eBooks
·
1
Feature engineering –based machine learning models for operational state recognition of rotating machines
2023
·
Jukka Junttila
, Ville Lämsä
, et al.
Beyond the Obvious - The Industry 5.0 by Hybrid Modelling
2019
·
Ville Lämsä
, Simo-Pekka Leino
, et al.
Propeller blade impact forces due to cavitation cloud collapse by using a coupled Eulerian-Lagrangian method
2014
·
Ville Lämsä
, Juha Virtanen
, et al.
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Works count:
18
Citation count:
165
H-index:
8
I10-index:
7
Year
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