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Rotor Speed and Load Torque Estimations of Induction Motors via LSTM Network Cover

Rotor Speed and Load Torque Estimations of Induction Motors via LSTM Network

Power Electronics and Drives
Volume 8 (2023): Issue 1 (January 2023)
By: Mehmet Muzaffer Kosten,  Alper Emlek,  Recep Yildiz and  Murat Barut  
Open Access
|Oct 2023

Authors

Mehmet Muzaffer Kosten

Department of Electrical and Electronic Engineering, Nigde Omer Halisdemir University, Nigde, Türkiye
Koç Bilgi ve Savunma Teknolojileri A.Ş, Middle East Technical University Technopolis, Ankara, Türkiye

Alper Emlek

Department of Electrical and Electronic Engineering, Nigde Omer Halisdemir University, Nigde, Türkiye

Recep Yildiz

ryildiz@ohu.edu.tr

Department of Electrical and Electronic Engineering, Nigde Omer Halisdemir University, Nigde, Türkiye

Murat Barut

Department of Electrical and Electronic Engineering, Nigde Omer Halisdemir University, Nigde, Türkiye
DOI: https://doi.org/10.2478/pead-2023-0021 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
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Language: English
Page range: 310 - 324
Submitted on: Jun 14, 2023
Accepted on: Sep 2, 2023
Published on: Oct 1, 2023
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
long short-term memory,
deep neural network,
electrical vehicle,
induction motor,
state and parameter estimation
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2023 Mehmet Muzaffer Kosten, Alper Emlek, Recep Yildiz, Murat Barut, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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