High-Frequency Analysis of Electrical Machines Using Probability Density Functions for an Automated Conductor Placement of Random-Wound Windings-Reference-Cited by-同舟云学术

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High-Frequency Analysis of Electrical Machines Using Probability Density Functions for an Automated Conductor Placement of Random-Wound Windings

Published:2021-05-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Electric Machines & Drives Conference (IEMDC)
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Author:

Hoffmann A.,Knebusch B.,Stockbrugger J. O.,Dittmann J.,Ponick B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9449477/9449488/09449557.pdf?arnumber=9449557

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AC motor impedance predictive modeling methodology taking into account windings variability;Science and Technology for Energy Transition;2024

2. Statistical Simulation of Conductor Lay in Random Windings via X-ray Computed Tomography of Electric Vehicle Stators;2023 IEEE Energy Conversion Congress and Exposition (ECCE);2023-10-29

3. Predictive sensitivity analysis of motor’s windings HF impedances;2023 International Symposium on Electromagnetic Compatibility – EMC Europe;2023-09-04

4. Impedance Modeling Oriented Toward the Early Prediction of High-Frequency Response for Permanent Magnet Synchronous Machines;IEEE Transactions on Industrial Electronics;2023-05

5. Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models;2023 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD);2023-04-13

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