Comparative study between EMD, VMD, SAGE, CLEAN, and ESPRIT-TLS algorithms for real-time fault bearing recognizing in induction machines
Author:
Affiliation:
1. ENSA-Tanger,LabTIC,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9764877/9764959/09765202.pdf?arnumber=9765202
Reference21 articles.
1. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
2. rolling bearing diagnosing method based on Empirical Mode Decomposition of machine vibration signal;dyba?a,0
3. Comparative study between VMD and EMD in bearing fault diagnosis
4. An Analysis of the Total Least Squares Problem
5. Singular value decomposition and least squares solutions
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. A Comparative Study Between EMD-MCKD and EMD-MEDA Techniques for the Bearing Faults Diagnosis in Induction Motors;2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT);2023-11-05
2. Real-time Bearing fault detection using Intelligent Algorithm combined with Wavelet Transform;2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW);2022-10-05
3. Application of Teager–Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings;Sensors;2022-09-03
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