Projects per year
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Dive into the research topics where Mehrnaz Farzam Far is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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REFLECTIVE: Reconfigurable Light Electric Vehicle
Pippuri-Mäkeläinen, J., Keränen, J. S. & Farzam Far, M.
1/02/21 → 31/01/24
Project: EU project
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Arrowhead Tools: Arrowhead Tools for Engineering of Digitalisation Solutions
Halme, J., Keränen, J. S., Tahkola, M., Pippuri-Mäkeläinen, J. & Farzam Far, M.
1/05/19 → 31/07/22
Project: EU project
Research output
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Real-Time Control of an IPMSM Using Model Order Reduction
Farzam Far, M., Martin, F., Belachen, A., Rasilo, P. & Awan, H. A. A., Mar 2021, In: IEEE Transactions on Industrial Electronics. 68, 3, p. 2005-2014 10 p., 9007620.Research output: Contribution to journal › Article › Scientific › peer-review
1 Citation (Scopus) -
A Framework for Charging Standardisation of Electric Buses in Europe
Far, M. F., Paakkinen, M. & Cremers, P., Nov 2020, 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE Institute of Electrical and Electronic Engineers, 4 p. 9330894Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Structural Topology Optimization of High-Speed Permanent Magnet Machine Rotor
Manninen, A., Keränen, J., Pippuri-Mäkeläinen, J., Miljavec, D., Čorović, S., Alič, A., Rupnik, U., Farzam Far, M. & Avikainen, T., 23 Aug 2020, 2020 International Conference on Electrical Machines, ICEM. IEEE Institute of Electrical and Electronic Engineers, p. 1814-1819 6 p. 9270686Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Surrogate modeling of a permanent magnet synchronous machine finite element models based on artificial neural networks
Tahkola, M., Keränen, J., Sedov, D., Farzam Far, M. & Kortelainen, J., 26 Nov 2020.Research output: Contribution to conference › Conference Poster › Scientific
Open AccessFile9 Downloads (Pure) -
Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks
Tahkola, M., Keränen, J., Sedov, D., Farzam Far, M. & Kortelainen, J., 7 Dec 2020, In: IEEE Access. 20 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile