DOAJ Open Access 2024

Detailed Analysis of the Strengths of EEMD and VMD Techniques for Bearing Fault Detection

Yasser Damine Ahmed Chaouki Megherbi Salim Sbaa Noureddine Bessous

Abstrak

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 machines. Ensemble Empirical Mode Decomposition (EEMD) is an appropriate technique for monitoring bearing health in IMs. This work is to evaluate the effectiveness of EEMD. The aim is to see in which level this technique can enhance the efficiency of bearing fault diagnosis. Our experimental findings indicate that EEMD exhibits greater effectiveness than VMD.

Topik & Kata Kunci

Applications of electric power Electric apparatus and materials. Electric circuits. Electric networks

Penulis (4)

Yasser Damine

Ahmed Chaouki Megherbi

Salim Sbaa

Noureddine Bessous

Format Sitasi

APA MLA BibTeX

Damine, Y., Megherbi, A.C., Sbaa, S., Bessous, N. (2024). Detailed Analysis of the Strengths of EEMD and VMD Techniques for Bearing Fault Detection. https://doi.org/10.51485/ajss.v9i4.246

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.51485/ajss.v9i4.246
Akses: Open Access ✓