Two Novel Approaches for Identification of Synchronous Machine Parameters From Short-Circuit Current Waveform-Reference-Cited by-同舟云学术

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Two Novel Approaches for Identification of Synchronous Machine Parameters From Short-Circuit Current Waveform

Published:2022-06 Issue:6 Volume:69 Page:5536-5546
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Micev Mihailo,Calasan Martin^ORCID,Aleem Shady H. E. Abdel^ORCID,Hasanien Hany M.^ORCID,Petrovic Dragan S.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9703198/09451573.pdf?arnumber=9451573

Cited by 13 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. Methods for Determining Losses and Parameters of Cylindrical-Rotor Medium-Power Synchronous Generators;Electronics;2024-07-14

2. A Graphical Approach Toward Identification of Synchronous Generator Using Unit Trip Data and High-Resolution 3-Phase Load Angle Meter;IEEE Transactions on Energy Conversion;2024-06

3. A systematic approach to modeling synchronous generator using Markov parameters and Takagi–Sugeno fuzzy systems;Expert Systems with Applications;2024-01

4. Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators;IEEE Transactions on Industrial Informatics;2023-03

5. Study of Power Dynamic System and Synchronous Machine Modeling;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14

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