Ministère de l'Enseignement Supérieur et de la Recherche Scientifique

Centre de Recherche
en Technologies Industrielles CRTI

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Curriculum vitae


OUDJANI_Brahim

M. OUDJANI Brahim
Équipe de recherche 33 : Commandes et Sûreté des Systèmes Electro-Energetiques « CSSE » (DMUE)
Grade : Maitre de Recherche Classe « B »
E-Mail : b.oudjani@crti.dz


Diplomes :

  • 2008: Magistère en Electronique
  • 2004: Ingénieur d'état en Electronique


Domaines de compétences scientifiques :

  • Commande des Systèmes
  • Traitement de signal
  • Vision
  • Intelligence artificiel
  • communications
  • Contrôle


Activités scientifiques :

  • Recherche et amélioration des techniques de traitement de signal dédier au diagnostique de défauts.
  • Surveillance et Diagnostique de défaut par analyse vibratoire.
  • Contribution à l’amélioration des performances des systèmes de transmission numériques.

Communications


- Vibration signal-based bearing fault diagnosis usingoptimized multi-scale entropy and ANFIS network, International Conference on Welding, Non Destructive Testing and Materials and Alloys Industry-2014

- Failure of symmetric composite plates E-Glass /Epoxy with variousreinforcement arrangements, FRACT'2, Second International Workshop on Fracture Mechanics-2013

- Technique d’Hybridation en Vue d’Améliorer le ComportementMécanique à la Rupture des Composites Stratifiés, Journées d'Etudes des Matériaux Polymères-2013

- Vibration-based bearing fault diagnosis by an integrated DWT-FFT approach and an adaptive neuro-fuzzy inference system, 3rd International Conference on Control, Engineering & Information Technology (CEIT)-2015

- Vibration-Based Gearbox Fault Diagnosis by DWPT and PCA Approaches and an Adaptive Neuro-Fuzzy Inference System, 16th international conference on Sciences and Techniques of Automatic control & computer engineering-2015

- Rolling Bearing Fault Diagnosis using SVM,Frequency Kurtosis and Entropy Techniques, The 7 African Conference on Non Destructive Testing.-2016

- Rolling Bearing Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition, 4th International Conference on Control Engineering & Information Technology (CEIT-2016)-2016

- MONITORING AND DIAGNOSIS OF ROTATING MACHINES BY VIBRATORY ANALYSIS, 4th International Conference on Pure and Applied Sciences -2017

- Failure of symmetric composite plates E-Glass/Epoxy with variousreinforcement arrangements, FRACT2-2013

- FAULT DIAGNOSIS OF ROTATING MACHINERY BASED ON VIBRATION SIGNAL ANALYSIS, 3rd INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING-2017

- AN INTELLIGENT ONLINE SCHEME BASED K-NEAREST NEIGHBOR CLASSIFIER FOR GEAR SYSTEM FAULT DIAGNOSIS AND CLASSIFICATION, International Conference on Applied Analysis and Mathematical Modeling ICAAMM 2018-2018

- PREDICTION OF INDUSTRIAL EQUIPMENT FAULTS BY SPECTRAL VIBRATORY ANALYSIS, International seminar in industrial engineering and applied mathematics -2018

- Bearing Fault Diagnosis of Induction Machine Based Empirical ModeDecomposition Energy and Entropy, International Conference on Computational Methods in Applied Sciences (ICCMAS 2019)-2019

- Faults Detection and Isolation of DC-AC Static Converter Feeding Induction Machine, 6th International Conference on Automation, Control engineering & Computer Science ACECS’2019-2019

- Faults Detection and Isolation of DC-AC Static Converter Feeding Induction Machine, 7ème Conférence Internationale des Energies Renouvelables-2019