A comparative study dedicated to rotor failure detection in induction motors using MCSA, DWT, and EMD techniques
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9249766/9249767/09249774.pdf?arnumber=9249774
Cited by 7 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. Novel Ramanujan Digital Twin for Motor Periodic Fault Monitoring and Detection;IEEE Transactions on Industrial Informatics;2023-12
2. Analysis Optimization and Comparison to Detect Failures in the Squirrel-Cage Rotor using High-Level Wavelets;International Journal of Electrical and Electronics Research;2023-10-30
3. Kırık Rotor Çubuğu Sayısının Ampirik Mod Ayrışımı ve Makine Öğrenmesi Yaklaşımları İle Belirlenmesi;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2023-09-01
4. Tunable hyperbolic Cohen-class kernel for cross-term diminishing in time–frequency distributions;Mechanical Systems and Signal Processing;2023-03
5. Detailed Analysis of Rotor Eccentricity Fault Signatures in Induction Motors using DWT-FFT Technique;2022 19th International Multi-Conference on Systems, Signals & Devices (SSD);2022-05-06
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