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. https://doi.org/10.21595/jve.2019.20092.
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
