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Accelerated Steady-State Torque Computation for Induction Machines using Parallel-In-Time Algorithms

Bast, Denys and Kulchytska-Ruchka, Iryna and Schöps, Sebastian and Rain, Oliver (2020):
Accelerated Steady-State Torque Computation for Induction Machines using Parallel-In-Time Algorithms.
56, In: IEEE Transactions on Magnetics, 2020 (2), pp. 1-9. ISSN 0018-9464,
DOI: 10.1109/TMAG.2019.2945510,
[Article]

Item Type: Article
Erschienen: 2020
Creators: Bast, Denys and Kulchytska-Ruchka, Iryna and Schöps, Sebastian and Rain, Oliver
Title: Accelerated Steady-State Torque Computation for Induction Machines using Parallel-In-Time Algorithms
Language: English
Journal or Publication Title: IEEE Transactions on Magnetics
Volume: 56
Journal volume: 2020
Number: 2
Uncontrolled Keywords: time-stepping,parallel
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Computational Electromagnetics
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields)
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields) > Computational Engineering (from 01.01.2019 renamed Computational Electromagnetics)
18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields
Exzellenzinitiative
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Date Deposited: 20 Jan 2020 13:21
DOI: 10.1109/TMAG.2019.2945510
Official URL: https://arxiv.org/abs/1902.08277
Additional Information:

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