Sensitive Inter-turn Fault Detection Approach for Induction Motor Under Various Operating Conditions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-07664-5.pdf
Reference36 articles.
1. Al-Ameri, S.M., et al.: Application of frequency response analysis method to detect short-circuit faults in three-phase induction motors. Appl. Sci. 12(4), 2046 (2022)
2. Amirouche, E., et al.: New diagnostic and severity estimation method for inter-turn short fault for dual star permanent magnet synchronous generator. Arab. J. Sci. Eng. 47, 3573–3581(2022)
3. Mejia-Barron, A., et al.: A neural network-based model for MCSA of inter-turn short-circuit faults in induction motors and its power hardware in the loop simulation. Comput. Electr. Eng. 93, 107234 (2021)
4. Verma, A.K., et al.: An efficient neural-network model for real-time fault detection in industrial machine. Neural Comput. Appl. 33(4), 1297–1310 (2021)
5. Sonje, D.M.; Kundu, P.; Chowdhury, A.: A novel approach for sensitive inter-turn fault detection in induction motor under various operating conditions. Arab. J. Sci. Eng. 44(8), 6887–6900 (2019)
Cited by 2 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. Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic;Energies;2024-08-22
2. Signal Processing and Machine Learning Techniques Based Hybrid Approaches for Decent Fault Classification of Induction Motor;2024-01-16
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