Publications internationales

2024
Boudiaf Rabah, Bouras Abdelkarim, Issam Harida. (2024), Bearing fault diagnosis in induction motor using continuous wavelet transform and convolutional neural networks. International Journal of Power Electronics and Drive Systems, Vol 15, N 1DOI:10.11591/ijpeds.v15.i1.pp591-602
2022
Nadir Benamira, Azzeddine Dekhane, Samir Kerfali, Bouras Abdelkarim, Omar Reffas. (2022), Experimental investigation of the combined fault: mechanical and electrical unbalances in induction motors based on stator currents monitoring. Instrumentation Mesure Métrologie, Vol. 21, Issue 6, 207-215.https://doi.org/10.18280/i2m.210601
2021
Bouras Abdelkarim and al. (2021), Experimental investigation of an alternative wind energy generator, particularly designed. Revista Facultad de Ingeniería, No.101, pp. 100-107. https://doi.org/10.17533/udea.redin.20200802
2020
Bouras Abdelkarim., Bennedjai S., Bouras S. (2020), Experimental detection of defects in variable speed fan bearing using stator current monitoring. Springer Nature Applied Sciences. Vol 2, N 891.

Résumé: https://doi.org/10.1007/s42452-020-2687-2

2019
(2019), Experimental investigation for the detection of high-risk external electrical faults through stator current analysis. Australian Journal of Electrical and Electronics Engineering : taylor & francis, https://www.tandfonline.com/doi/abs/10.1080/1448837X.2019.1604605

Résumé: Induction motors may be subject to external electrical faults, of which the consequences are highly critical and dangerous. If the electromagnetic shielding does not intervene in time, the windings will be damaged due to an intense rise in stator current and therefore this actuator will be out of service. Multiple analysis approaches of Park’s current vector components (FFT, STFF, Park Orbit, Hilbert-Park and Mean Square Spectrum) discussed in our paper are illustrated for the detection of the absence of one of the power phases during the operation of the induction motor and the errors of its connection to the electrical network on an experimental bench dedicated to the diagnosis. The results obtained by applying this fairly simple methodology allow to monitor the induction motor during its proper functioning and to make a reliable assessment of the cause and the facts if there is an incident due to these external electrical faults.

2018
(2018), Diagnosis of fusion defects an electromechanical training system (SEEM) through analysis of current: experimental approache. Int. J. Automation and Control
(2018), Prediction of the mass unbalance of a variable speed induction motor by stator current multiple approaches. Turk J Elec Eng & Comp Sci
2016
(2016), Gearbox degradation diagnosis using supplementary approaches based on the stator current analysis: experimental research. International Journal of Industrial and Systems Engineering : INDERSCIENCE PUBLISCHER,
2015
(2015), Experimental investigation on different faults diagnosis by combining two stator current approaches. TTEM
2014
(2014), Investigation on The Diagnosis of Simple and Combines Mecanical faults in Asynchronous Motor Based Electric drives. American Journal of Applied Sciences
2013
(2013), MCSA to Detect Mechanical Faults of the High Power Set, International journal on Energy Conversion . I.R.E.C.O.N
2011
(2011), Behavior technical Analysis of the Asynchronous Motor. International journal of Electrical and Power Engineering . IJEPE

Communications internationales

2025
Abdelkarim Bouras, Rabah Boudiaf, Hichem Bouras, Salim Aouabdi . (2025), Reinforcement Learning for Short Term Battery Management in a Renewable Thermal Hybrid System: A Case Study from Marseille, France. 1 st InterNational Conference On Emerging Materials For Energy Storage And Conversion
Houssem Hamdane, Abdelkarim Bouras, Salim Aouabdi, Rabah Boudiaf. (2025), Fault tolerant second order sliding mode control for robust speed regulation of a squirrel cage asynchronous machine under disturbances . he 1st International Seminar on Process Engineering and Industrial Development, November 2025
Abdelkarim Bouras, Houssem Hamdane, Salim Aouabdi, Rabah Boudiaf . (2025), Deep learning enhanced sliding mode control for fault tolerant wind turbine systems: integration of CNN based diagnosis and adaptive robust control. Interational Seminar on Process Engineering and Industrial Development
2023
Issam Harida, Bouras Abdelkarim, Boudiaf Rabah. (2023), Vibration analysis for the detection of combined mechanical defects of a wind turbine. Energetika Vol 68, N 1DOI:10.6001/energetika.v68i1.4860