Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ville Lämsä"'
Publikováno v:
Machines, Vol 10, Iss 12, p 1116 (2022)
Rotating machines are typically equipped with vibration sensors at the bearing location and the information from these sensors is used for condition monitoring. Installing additional sensors may not be possible due to limitations of the installation
Externí odkaz:
https://doaj.org/article/d30169b5ca6d4259ac42cbfcd1faf889
Publikováno v:
Kokkonen, P, Hemming, B, Mikkola, E, Teir, L, Lämsä, V & Junttila, J 2022, ' Robust lightweight design and digital twins considering manufacturing quality variation and sustainability requirements ', Journal of Structural Mechanics, vol. 55, no. 3, pp. 66-80 . https://doi.org/10.23998/rm.120693
Rakenteiden Mekaniikka
Rakenteiden Mekaniikka
In this paper, robustness optimization of a fatigue-critical welded structure with measured misalignments and a generic robust design procedure are presented. The motivation for considering uncertainties, robustness and multi-criteria decision making
Publikováno v:
Junttila, J, Lämsä, V, Espinosa-Leal, L & Sillanpaa, A 2023, ' Feature engineering –based machine learning models for operational state recognition of rotating machines ', FCAI AI Day 2022, Espoo, Finland, 16/11/22-16/11/22 . https://doi.org/10.54985/peeref.2303p8483224
Data-based models for operational state recognition and detection of abnormal operation of a gas engine generating set (genset) in near real-time were provided. One model can classify the current power output level very accurately, and the other can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fd59d5859c839bf2c29037109afceeb
https://cris.vtt.fi/en/publications/8f917dbe-f4d0-4cd9-9c63-ee7221c7d66e
https://cris.vtt.fi/en/publications/8f917dbe-f4d0-4cd9-9c63-ee7221c7d66e
Publikováno v:
Chakraborti, A, Heininen, A, Koskinen, K T & Lämsä, V 2020, ' Digital twin : Multi-dimensional model reduction method for performance optimization of the virtual entity ', Procedia CIRP, vol. 93, pp. 240-245 . https://doi.org/10.1016/j.procir.2020.04.050
Digital Twin (DT) is an emerging technology that allows manufacturers to simulate and predict states of complex machine systems during operation. This requires that the physical machine state is integrated in a virtual entity, instantaneously. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c7d3a0be6f4326be2734d65354b89c8
https://cris.vtt.fi/en/publications/dd6a22e0-7150-4465-a796-1f93e87141a7
https://cris.vtt.fi/en/publications/dd6a22e0-7150-4465-a796-1f93e87141a7
Autor:
Emil Kurvinen, Antero Kutvonen, Juhani Ukko, Qasim Khadim, Yashar Shabbouei Hagh, Suraj Jaiswal, Neda Neisi, Victor Zhidchenko, Juha Kortelainen, Mira Timperi, Kirsi Kokkonen, Juha Virtanen, Akhtar Zeb, Ville Lamsa, Vesa Nieminen, Jukka Junttila, Mikko Savolainen, Tuija Rantala, Tiina Valjakka, Ilkka Donoghue, Kalle Elfvengren, Mina Nasiri, Tero Rantala, Ilya Kurinov, Eerik Sikanen, Lauri Pyrhonen, Lea Hannola, Heikki Handroos, Hannu Rantanen, Minna Saunila, Jussi Sopanen, Aki Mikkola
Publikováno v:
IEEE Access, Vol 10, Pp 45962-45978 (2022)
Real-world products and physics-based simulations are becoming interconnected. In particular, real-time capable dynamic simulation has made it possible for simulation models to run in parallel and simultaneously with operating machinery. This capabil
Externí odkaz:
https://doaj.org/article/86fa27870b934b50a5d4008a48e4a1f7