Fault Classification and Diagnosis of Industrial Application Motor Drives using Soft Computing Techniques-Reference-Cited by-同舟云学术

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Fault Classification and Diagnosis of Industrial Application Motor Drives using Soft Computing Techniques

Published:2019-05 Issue: Volume: Page:
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Container-title:2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)
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Author:

Ayyappan G.S,Venugopal Krishna,M. Raja Raghavan,Poonthalir R,Ilango K,Rameshbabu B

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977147/9016382/09016782.pdf?arnumber=9016782

Cited by 6 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. Finite Element-based Dynamic Eccentricity Fault Analysis in Switched Reluctance Motor Using Machine Learning Approach;2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA);2023-10-27

2. Implementation of Machine Learning to Analyze Static Eccentricity Fault in SPMSM using FEM;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07

3. Analysis of Converter Fault in Switched Reluctance Motor using Finite Element Method;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24

4. Application of Machine Learning for Analyzing Demagnetization Fault in IPMSM using Finite Element Method;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20

5. GA & Fuzzy Logic-based Condition Monitoring of Induction Motor Through Estimated Motor Losses;IETE Journal of Research;2021-04-27

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