A Similarity Based Index for Stator Inter-Turn Fault Detection in Induction Motors-Reference-Cited by-同舟云学术

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A Similarity Based Index for Stator Inter-Turn Fault Detection in Induction Motors

Published:2024-08-06 Issue: Volume: Page:346-351
ISSN:
Container-title:2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Tajdinian Mohsen¹,Behdani Behzad²,Chamorro Harold R.³,Sood Vijay K.⁴

Affiliation:

1. Hitachi Energy,Hitachi Energy Research Center,Västerås,Sweden

2. Delft University of Technology,Department of Electrical Sustainable Energy,Delft,The Netherlands

3. KTH Royal Institute of Technology,School of Electrical Engineering and Computer Science,Stockholm,Sweden

4. Ontario Tech University, Ontario,Faculty of Engineering and Applied Science,Department of Electrical, Computer and Software Engineering,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10667055/10667056/10667235.pdf?arnumber=10667235

Reference31 articles.

1. Robust Interpretable Deep Learning for Intelligent Fault Diagnosis of Induction Motors

2. Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review

3. Induction Motors Fault Diagnosis Using Finite Element Method: A Review

4. Mixed model‐based and signal‐based approach for open‐switches fault diagnostic in sensorless speed vector controlled induction motor drive using sliding mode observer

5. An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization

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