Induction motor faults diagnosis using support vector machine to the motor current signature
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8376183/8387624/08390701.pdf?arnumber=8390701
Cited by 10 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. Induction Motor Fault Identification using Support Vector Machine;2023 6th International Conference on Renewable Energy and Power Engineering (REPE);2023-09-15
2. Application of SVM Classification Technique in Single-phase AC Motor Bearing Fault Diagnosis using Motor Current Analysis with MRA - FFT as Feature Extractor and CFFS as Feature Selection Method;2023 IEEE 14th Control and System Graduate Research Colloquium (ICSGRC);2023-08-05
3. On the Study of Induction Motor Fault Identification using Support Vector Machine Algorithms;2023 31st Southern African Universities Power Engineering Conference (SAUPEC);2023-01-24
4. Application of PCA and SVM in Fault Detection and Diagnosis of Bearings with Varying Speed;Mathematical Problems in Engineering;2022-04-26
5. Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors;Sensors;2022-03-29
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