Fault Diagnosis of Three-Phase Induction Motor (IM) Using a Hybrid ELSE-RNN Technique-Reference-Cited by-同舟云学术

Fault Diagnosis of Three-Phase Induction Motor (IM) Using a Hybrid ELSE-RNN Technique

Published:2024-03-05 Issue: Volume: Page:1-10
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Balamurugan Annamalai¹^ORCID,Shunmugakani Sankaranarayanan²,Ramya Rajendran³,Saravanan Shanmugam⁴

Affiliation:

1. Department of Electrical and Electronics Engineering, Chennai Institute of Technology, Chennai, India

2. Department of Electrical and Electronics Engineering, St.Joseph’s Institute of Science and Technology, Chennai, India

3. Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, India

4. Department of Electrical and Electronics Engineering, Ranippettai Engineering College, Ranippettai, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2315199

Reference22 articles.

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2. An Efficient Hilbert–Huang Transform-Based Bearing Faults Detection in Induction Machines

3. Advanced diagnosis of stator turn-to-turn faults and static eccentricity in induction motors based on internal flux measurement;Mirzaeva G.;IEEE Trans. Ind. Appl.,2018

4. H. Ge, J. Guo, B. Bilgin, J. Ye, V. Loukanov, and A. Emadi, “A reduced-order model based induction machine self-commissioning method,” in 2015 IEEE Transportation Electrification Conference and Expo (ITEC), Jun.2015, pp. 1–8. Dearborn, MI: IEEE.

5. An efficient GBDTRSO control strategy for PV connected H-Bridge Nine Level MLI System with quasi-Z-source inverter