Comparative Study Between EEMD-MED and VMD-MED Techniques Dedicated to Bearing Fault Detection in Induction Motors-Reference-Cited by-同舟云学术

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Comparative Study Between EEMD-MED and VMD-MED Techniques Dedicated to Bearing Fault Detection in Induction Motors

Published:2022-11-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)
language:
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Author:

Damine Yasser¹,Sbaa Salim²,Bessous Noureddine³,Megherbi Ahmed Chaouki¹

Affiliation:

1. University of Mohamed Khider,Laboratory of LI3C,Dept. Electrical Engineering,Biskra,Algeria

2. University of Mohamed Khider,Laboratory of VSC,Dept. Electrical Engineering,Biskra,Algeria

3. University of El Oued,Laboratory of LGEERE,Dept. Electrical Engineering,El Oued,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10093233/10093088/10093687.pdf?arnumber=10093687

Reference23 articles.

1. A review on empirical mode decomposition in fault diagnosis of rotating machinery

2. Study of the IMF Selection Methods using Kurtosis Parameter for Bearing Fault Diagnosis

3. Vibration Analysis of Rolling Element Bearings Defects

4. Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold

5. Fault Feature Extraction of Flexible Thin-walled Bearings Based on VMD and MOMEDA

Cited by 1 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. Incipient Fault Diagnosis of Rolling Bearing Based on ACMD and Parametric Optimized MNAD;2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou);2023-10-12

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