Yasser Damine
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View article: Detailed Analysis of the Strengths of EEMD and VMD Techniques for Bearing Fault Detection
Detailed Analysis of the Strengths of EEMD and VMD Techniques for Bearing Fault Detection Open
The detection of faults in induction machines (IMs) is crucial for maintaining their optimal performance and extending their lifespan. Bearing faults, in particular, can have a significant impact on the efficiency and reliability of these …
View article: Early Bearing Fault Detection Using EEMD and Three-Sigma Rule Denoising Method
Early Bearing Fault Detection Using EEMD and Three-Sigma Rule Denoising Method Open
Rotating electrical machines have several physical phenomena. Vibration is one of the important phenomena in the operation of rotating electrical machines. In addition, the vibration signal is considered an important source to have good in…
View article: A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process
A New Bearing Fault Detection Strategy Based on Combined Modes Ensemble Empirical Mode Decomposition, KMAD, and an Enhanced Deconvolution Process Open
In bearing fault diagnosis, ensemble empirical mode decomposition (EEMD) is a reliable technique for treating rolling bearing vibration signals by dividing them into intrinsic mode functions (IMFs). Traditional methods used in EEMD consist…