Implementation of Machine Learning to Analyze Static Eccentricity Fault in SPMSM using FEM-Reference-Cited by-同舟云学术

Implementation of Machine Learning to Analyze Static Eccentricity Fault in SPMSM using FEM

Published:2023-04-07 Issue: Volume: Page:
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Container-title:2023 IEEE 8th International Conference for Convergence in Technology (I2CT)
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Author:

Dussa Rama Krishna¹,Kumar N Praveen¹

Affiliation:

1. Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10126131/10126116/10126292.pdf?arnumber=10126292

Reference16 articles.

1. Electromagnetic Signature Study of a Closed loop Speed Controlled Three-Phase Induction Motor under Broken Rotor Bar Fault using Finite Element Method;kumar;Journal of Engineering Science and Technology,2019

2. Effect of Demagnetization Fault in SPMSM using Finite Element Analysis

3. Fault detection and classification of permanent magnet synchronous motor in variable load and speed conditions using order tracking and machine learning

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

5. Static Eccentricity Fault Analysis in Inverter Fed Induction Motor using Finite Element Method

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1. Diagnosis of Stator Interturn Fault in SPMSM Using Machine Learning;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

2. 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

3. 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

4. Dynamic Eccentricity Fault Detection in Synchronous Machines Using Principal Component Analysis;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24