Classification of inter-turn short-circuit faults in induction motors based on quaternion analysis
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference39 articles.
1. Review on machine learning algorithm based fault detection in induction motors;Kumar;Arch. Comput. Methods Eng.,2020
2. Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review;Gangsar;Mech. Syst. Signal Process.,2020
3. Condition monitoring and fault diagnosis of induction motors: A review;Choudhary;Arch. Comput. Methods Eng.,2019
4. An embedded system for stator short-circuit diagnosis in three-phase induction motors using information theory and artificial neural networks;Bazan;IEEE Trans. Syst. Man Cybern.,2022
5. A neural network approach to detect winding faults in electrical machine;Imoru;Int. J. Emerg. Electr. Power Syst.,2020
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