Detection and Localization of the Stator Winding Inter-Turn Fault in Induction Motors based on Parameters Estimation using Genetic Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s40031-021-00670-x.pdf
Reference29 articles.
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3. R. Henrique, C. Palácios, A. Goedtel, W.F. Godoy, J.A. Fabri, Fault identification in the stator winding of induction motors using PCA with artificial neural networks. J. Control. Autom. Electr. Syst. 27(4), 406–418 (2016). https://doi.org/10.1007/s40313-016-0248-0
4. R. Tabasian, M. Ghanbari, M. Jannati, A novel direct field‐oriented control strategy for fault‐tolerant control of induction machine drives based on EKF. Inst. Eng. Technol. 15, 979–997 (2021). https://doi.org/10.1049/elp2.12051
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1. Stator ITSC Fault Diagnosis for EMU Induction Traction Motor Based on Goertzel Algorithm and Random Forest;Energies;2023-06-26
2. Matlab sensitivity analysis toolbox: an application on faults identification in induction motors;COMPEL - The international journal for computation and mathematics in electrical and electronic engineering;2023-06-14
3. Sensitive Inter-turn Fault Detection Approach for Induction Motor Under Various Operating Conditions;Arabian Journal for Science and Engineering;2023-03-21
4. Voltage–current locus‐based stator winding inter‐turn fault detection in induction motors;International Journal of Circuit Theory and Applications;2023-02-09
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