Fault diagnosis of squirrel-cage induction motor broken bars based on a model identification method with subtractive clustering
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8052602/8062321/08062372.pdf?arnumber=8062372
Cited by 11 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. Fuzzy Inference System Development for Turbogenerator Failure Diagnosis on Floating Production Offloading and Storage Platform;Energies;2024-01-12
2. Detection of induction motor faults: Through fuzzy logic and frequency analysis;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18
3. Improvement of Induction Motor Diagnosis using the Kaiser Window Function;2023 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2023 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM);2023-09-01
4. An automatic rotor bar fault diagnosis using fuzzy logic and DWT-energy for backstepping control driven induction motor in low-speed operation;Soft Computing;2023-05-23
5. Experimental Diagnosis of Broken Rotor Bar Faults in Induction Motors at Low Slip via Hilbert Envelope and Optimized Subtractive Clustering Adaptive Neuro-Fuzzy Inference System;Energies;2022-09-15
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