Feature extraction based on vibration signal decomposition for fault diagnosis of rolling bearings.

Autor: Bendjama, Hocine¹ (AUTHOR) h.bendjama@crti.dz

Publikováno v: International Journal of Advanced Manufacturing Technology. Jan2024, Vol. 130 Issue 1/2, p821-836. 16p.

Combination of Single Channel Blind Source Separation Method and Normal Distribution for Diagnosis of Bearing Faults.

Autor: Cherrad, Mohamed Lotfi¹ cherradlotfi@gmail.com, Bendjama, Hocine², Fortaki, Tarek³

Publikováno v: Jordan Journal of Mechanical & Industrial Engineering. Sep2022, Vol. 16 Issue 4, p493-502. 10p.

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WAVELETS AND PRINCIPAL COMPONENT ANALYSIS METHOD FOR VIBRATION MONITORING OF ROTATING MACHINERY

Autor: Bendjama, Hocine, S. Boucherit, Mohamad

Fault diagnosis is playing today a crucial role in industrial systems. To improve reliability, safety and efficiency advanced monitoring methods have become increasingly important for many systems. The vibration analysis method is essential in improv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::1ce50f8c17f1dc0889fb8e13a6fbe090
https://zenodo.org/record/1119553

Experimental and numerical study of DC04 sheet metal behaviour—plastic anisotropy identification and application to deep drawing.

Autor: Ghennai, Walid, Boussaid, Ouzine, Bendjama, Hocine, Haddag, Badis, Nouari, Mohammed

Publikováno v: International Journal of Advanced Manufacturing Technology; Jan2019, Vol. 100 Issue 1-4, p361-371, 11p, 4 Color Photographs, 3 Diagrams, 2 Charts, 5 Graphs