New method for bearing fault diagnosis based on VMD technique

• Autorzy: Bousseloub Yahia , Medjani Farida , Benmassoud Ahmed , Kezai Taher , Belhamra Ali , Attoui Issam

Identyfikatory

DOI

10.29354/diag/186751

• Języki publikacji: EN

Abstrakty

EN

Variational Mode Decomposition (VMD) is a useful tool for decomposing complex multi-component signals. However, one major drawback of VMD is the need to accurately determine the value of sub-signals (IMFs) before starting the process of segmentation. In fact, achieving optimal reconstruction of the denoised original signals depends on the determining optimal number of IMFs (K). This requirement poses a challenge in the capability of analyzing non-stationary or noisy signals. In this paper, a new approach to optimize the variational mode decomposition technique is proposed. This approach automatically estimates the optimal K and also effectively detects the characteristic frequencies associated with faulty bearings. This method is a combination of two algorithms which are based on cross-correlation and root mean square (RMS) statistical analysis. To confirm the efficacy of the proposed method, the bearing vibration dataset from the Case School of Engineering are used. Then, the K obtained through the proposed method are compared with other methods. The results demonstrate that the proposed approach exhibits superior robustness and precision when autonomously evaluating the optimal K for effective identification of bearing fault.

Słowa kluczowe

EN

bearing fault diagnosis; cross correlation; root mean square; vibration signal; variational mode decomposition

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2024
• Tom: Vol. 25, No. 2
• Strony: art. no. 2024208
• Opis fizyczny: Bibliogr. 24 poz., rys.

Twórcy

autor

Bousseloub Yahia

• Laboratory of Electromechanical Systems, Department of Electromechanics, Faculty of Science and Technology, Badji Mokhtar-Annaba University, Annaba, Algeria

• https://orcid.org/0009-0009-3385-1366

autor

Medjani Farida

• Mathematics and Their Interactions Laboratory, Abdelhafid Boussouf University Center of Mila, Algeria

• https://orcid.org/0009-0003-7057-5926

autor

Benmassoud Ahmed

• University of Science and Technology Houari-Boumédiène, Algeria

• https://orcid.org/0009-0003-6307-8067

autor

Kezai Taher

• Catholic University of Louvain, Belgium

autor

Belhamra Ali

• Laboratory of Electromechanical Systems, Department of Electromechanics, Faculty of Science and Technology, Badji Mokhtar-Annaba University, Annaba, Algeria

• https://orcid.org/0000-0001-8264-3736

autor

Attoui Issam

• Research Center in Industrial Technologies CRTI P.O. Box 64 Cheraga, Algeria

• https://orcid.org/0000-0001-6017-4502

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