Application of Machine Learning for Analysis of Static Eccentricity Fault in IPMSM using Finite Element Method
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9672321/9672454/09672469.pdf?arnumber=9672469
Reference24 articles.
1. Static Eccentricity Fault Analysis in Inverter Fed Induction Motor using Finite Element Method
2. Comparative Study of Offline Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine
3. Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors
4. Analysis of Electromagnetic Vibration of Permanent Magnet Synchronous Motor under Static and Dynamic Eccentricity Fault
5. Influence of manufacturing tolerances and eccentricities on the unbalanced magnetic pull in permanent magnet synchronous motors
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1. Effect of Power Factor of a Synchronous Machine on Eccentricity Faults Classification Accuracies;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06
2. Comparative Analysis of Machine Learning Algorithms for Eccentricity Fault Classification in Salient Pole Synchronous Machine;2024 IEEE Texas Power and Energy Conference (TPEC);2024-02-12
3. Diagnosis of Stator Interturn Fault in SPMSM Using Machine Learning;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14
4. Machine Learning Approach to Analyze Converter Fault in Switched Reluctance Motor Drive Using Finite Element Method;2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA);2023-10-27
5. 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
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