Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine

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 Lämsä, Vesa Nieminen, Jukka Junttila, Mikko Savolainen, Tuija Rantala, Tiina Valjakka, Ilkka DonoghueKalle Elfvengren, Mina Nasiri, Tero Rantala, Ilya Kurinov, Eerik Sikanen, Lauri Pyrhönen, Lea Hannola, Heikki Handroos, Hannu Rantanen, Minna Saunila, Jussi Sopanen, Aki Mikkola

Research output: Contribution to journal › Article › Scientific › peer-review

17 Citations (Scopus)

17 Citations
1 Conference article in proceedings
1 Conference Poster

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2023
Extreme Learning Machine-Based Operational State Recognition: A Feasibility Study with Mechanical Vibration Data
Junttila, J. (Corresponding author), Lämsä, V. & Espinosa-Leal, L., 2023, Proceedings of ELM 2021: Theory, Algorithms and Applications. Björk, K.-M. (ed.). Springer, p. 114-123 10 p. (Proceedings in Adaptation, Learning and Optimization, Vol. 16).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine

Research output

Search results

Extreme Learning Machine-Based Operational State Recognition: A Feasibility Study with Mechanical Vibration Data