Curriculum Vitae

Publications Internationales



1.    Adel Afia, Chemseddine Rahmoune, Djamel Benazzouz, Boualem Merainani, Semcheddine Fedala, New intelligent gear fault diagnosis method based on Autogram and radial basis function neural network, Advances in Mechanical Engineering, 2020.


2.    T Bettahar, C Rahmoune, D Benazzouz, Keratoconus prognosis study for patients with corneal external mechanical stress modek,  International Ophthalmology, 2020.

3.    Z Mohamed, R Chemseddine, B Djamel, R Azeddine, Automatic condition monitoring of electromechanical system based on MCSA, spectral kurtosis and SOM neural network, Journal of Vibroengineering, 2019.


4.    Fawzi Gougam , Chemseddine Rahmoune , Djamel Benazzouz, Boualem Merainani, Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions. Journal of Vibroengineering, Vol. 21, Issue 6, 2019, p. 1636-1650.


5.    Adel Afia, Chemseddine Rahmoune, Benazzouz Djamel, Merainani Boualem, Fedala Semchedine: New Gear fault diagnosis mehod based on MODWPT and Neural Network for Feature Extraction and Classification. Journal of Testing and Evaluation 06/2019;, DOI:10.1520/JTE20190107


6.    Adel Afia, Chemseddine Rahmoune, Djamel Benazzouz: Gear fault diagnosis using Autogram analysis. Advances in Mechanical Engineering 12/2018; 10(12):168781401881253., DOI:10.1177/1687814018812534


7.    Mohamed Zair, Chemseddine Rahmoune, Djamel Benazzouz: Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural network. ARCHIVE Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 1989-1996 (vols 203-210) 10/2018; 233(9):095440621880551., DOI:10.1177/0954406218805510


8.    Rahmoune Chemseddine, Merainani Boualem, Benazzouz Djamel, Fedala Semchedine: Gear fault feature extraction and classification of singular value decomposition based on Hilbert empirical wavelet transform. Journal of Vibroengineering 06/2018; 20(4)., DOI:10.21595/jve.2017.18917


9.    Azeddine Ratni, Chemseddine Rahmoune, Djamel Benazzouz: A new method to enhance of fault detection and diagnosis in gearbox systems. Journal of Vibroengineering 02/2017; 19(1):176-188., DOI:10.21595/jve.2016.17214


10.Boualem Merainani, Chemseddine Rahmoune, Djamel Benazzouz, Belkacem Ould-Bouamama: A novel gearbox fault feature extraction and classification using Hilbert empirical wavelet transform, singular value decomposition, and SOM neural network. Journal of Vibration and Control 02/2017; 24(12):107754631668899., DOI:10.1177/1077546316688991


11.Boualem Merainani, Djamel Benazzouz, Chemseddine Rahmoune: Early detection of tooth crack damage in gearbox using empirical wavelet transform combined by Hilbert transform. Journal of Vibration and Control 08/2015; 23(10)., DOI:10.1177/1077546315597820


12.Kamel Belalouache, Djamel Benazzouz, Chemseddine Rahmoune: 390. A new method based on fast Kurtogram for the identification of pitting fault versus crack fault in gearbox systems. Journal of Vibroengineering 09/2014; 16(6).


13.Chemseddine Rahmoune, Djamel Benazzouz: Monitoring Gear Fault by Using Motor Current Signature Analysis and Fast Kurtogram Method. International Review of Electrical Engineering 03/2013; 8(2):616-625.


14.Chemseddine Rahmoune, Djamel Benazzouz: Mechanics & Industry Early detection of pitting failure in gears using a spectral kurtosis analysis. Mechanics and Industry 01/2012; 13(4):245-254., DOI:10.1051/meca/2012018