Reduced Order Modeling Based on Multiport Cauer Ladder Network for Space Harmonics of Air-Gap Flux Density in Cage Induction Motor
Author:
Affiliation:
1. Department of Electrical Engineering, Doshisha University, Kyotanabe, Japan
2. Faculty of Science and Engineering, Kindai University, Osaka, Japan
3. Graduate School of Engineering, Kyoto University, Kyoto, Japan
Funder
Japan Society for the Promotion of Science (JSPS) KAKENHI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/20/9841496/09701331.pdf?arnumber=9701331
Reference13 articles.
1. Nonlinear model order reduction of induction motors using parameterized CLN method;tobita;Proc 23rd Conf Comput Electromagn Fields (COMPUMAG),2021
2. Parallel processing of 3-D eddy current analysis with moving conductor using parallelized ICCG solver with renumbering process
3. An efficient procedure to calculate equivalent circuit parameter of induction motor using 3-D nonlinear time-stepping finite-element method
4. Matrix Formulation of the Cauer Ladder Network Method for Efficient Eddy-Current Analysis
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1. Nonlinear MOR of Induction Motor with Reduced Representation of Airgap Harmonics;2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC);2024-06-02
2. Model Order Reduction of Cage Induction Motor with Stator and Rotor Failures Based on Multiport Cauer Ladder Network Method;2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC);2024-06-02
3. Model Order Reduction of Cage Induction Motor With Skewed Rotor Slots Using Multiport Cauer Ladder Network Method;IEEE Transactions on Magnetics;2023-05
4. Reduced Representation of Spatial Harmonics for Motor Model Order Reduction Using Block Arnoldi Method;IEEE Transactions on Magnetics;2023
5. Model Order Reduction of a Cage Induction Motor with Skewed Rotor Slots Using Multiport Cauer Ladder Network Method;2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC);2022-10-24
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