A Machine Learning Framework for Bearing Fault Detection in Three-Phase Induction Motors-Reference-Cited by-同舟云学术

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A Machine Learning Framework for Bearing Fault Detection in Three-Phase Induction Motors

Published:2024-01-08 Issue: Volume: Page:
ISSN:
Container-title:2024 4th International Conference on Smart Grid and Renewable Energy (SGRE)
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Author:

Rohouma Wesam¹,Zaitouny Ayham²,Wahid Md Ferdous³,Ali Hassan¹,Refaat Shady S.⁴

Affiliation:

1. University of Doha for Science and Technology, P.O. Box 24449,College of Engineering Technology,Doha,Qatar

2. University UAEU,College of Science, United Arab Emirates,Department of Mathematical Sciences

3. University at Qatar,Mechanical Engineering, Texas A&M,Doha,Qatar

4. University of Hertfordshire,School of Physics, Engineering, and Computer Science,Department of Engineering

Funder

Qatar National Research Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428118/10428123/10429024.pdf?arnumber=10429024

Reference20 articles.

1. Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

2. Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents

3. Detection of stator winding fault in induction motor using fuzzy logic

4. Modelling and Detection of Inter-Turn Short Circuits in Stator Windings of Induction Motor

5. Electrical Motor Maintenance Techniques and Life Cycle Assessment- A Review with Case Studies

Cited by 3 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. Improvement of Induction Motors Reliability in Fertilizers Plants Using IOT and Enterprise Resource Planning;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

2. The Influence of Magnetic Traction Force of Geared Motor Boxes Vibration;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

3. Comparative performance analysis of different types of k-nearest neighbor (k-NN) classifiers for fault diagnosis of air compressor setup;Engineering Research Express;2024-06-01

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