Mohamed Ben Rahmoune
Mohamed Ben Rahmoune
Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa, Algeria
Verified email at univ-djelfa.dz - Homepage
Title
Cited by
Cited by
Year
Vibration modeling improves pipeline performance, costs
B Mohamed, A Hafaifa, G Mouloud
Oil & Gas Journal 113 (3), 98-100, 2015
252015
Reliability study of gas turbines for improving their availability by ensuring optimal exploitation
M Guemana, A Hafaifa, M Ben Rahmoune
OIL GAS-EUROPEAN MAGAZINE 41 (2), 88-91, 2015
232015
Fault diagnosis in gas turbine based on neural networks: Vibrations speed application
MB Rahmoune, A Hafaifa, M Guemana
Advances in Acoustics and Vibration, 1-11, 2017
212017
Neural network monitoring system used for the frequency vibration prediction in gas turbine
MB Rahmoune, A Hafaifa, M Guemana
2015 3rd International Conference on Control, Engineering & Information …, 2015
192015
Detection and modeling vibrational behavior of a gas turbine based on dynamic neural networks approach
M Benrahmoune, A Hafaifa, M Guemana, XQ Chen
Journal of Mechanical Engineering-Strojnícky Časopis 68 (3), 143-166, 2018
92018
Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling
MB Rahmoune, A Hafaifa, A Kouzou, XQ Chen, A Chaibet
Mathematics and Computers in Simulation 179, 23-47, 2021
62021
Advanced gas turbines health monitoring systems
M Adamowicz, G Zywica, A Hafaifa, BR Mohamed, K Abdellah, C XiaoQi
Diagnostyka 19 (2), 77-87, 2018
52018
Control and diagnostic of vibration in gas turbine system using neural network approach
MB Rahmoune, A Hafaifa, A Kouzou, M Guemana, S Abudura
2016 8th International Conference on Modelling, Identification and Control …, 2016
52016
Gas turbine supervision based on neural networks in degraded mode: Presence of vibrations
BR Mohamed, A Hafaifa, G Mouloud
The 1st International Conference on Applied Automation and Industrial …, 2015
42015
Vibration monitoring in gas turbine speed using artificial neural networks
BR Mohamed, A Hafaifa, M Guemana
The 3rd International Conference on Information Processing and Electrical …, 2014
42014
Monitoring of high-speed shaft of gas turbine using artificial neural networks: Predictive model application
MB Rahmoune, A Hafaifa, K Abdellah, XQ Chen
Diagnostyka 18 (4), 3--10, 2017
32017
Fault diagnosis in gas turbine based on neural networks: vibrations spee application
RM Ben, H Ahmed, G Mouloud
In: Proceeding of the international conference on acoustics and vibration …, 2016
22016
Reliability modeling using Rayleigh distribution: Industrial pump application
M Guemana, A Hafaifa, BR Mohamed
Proceedings of the 19th European Conference on Mathematics for Industry ECMI2016, 2016
22016
Reliability estimation in industrial process using Log-normal distribution: Gas turbine application
AZ Djeddi, A Hafaifa, A Salam, BR Mohamed
INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS ISTANBUL, 2015
22015
Performance Study of Different Metaheuristics for Diabetes Diagnosis
F Bekaddour, MB Rahmoune, C Salim, A Hafaifa
International Work-Conference on Artificial Neural Networks, 591-602, 2017
12017
Reliability modelling using Weibull distribution on real-time system in oil drilling installations
MB Rahmoune, M Guemana, A Hafaifa
Algerian Journal of Signals and Systems 2 (4), 189-198, 2017
2017
PENNWELL®
BR Mohamed, A Hafaifa, G Mouloud
Oil & Gas Journal, 23, 2015
2015
Performances study of different metaheuristics algorithm for diabetes diagnosis
F Bekaddour, MB Rahmoune, C Salim, A Hafaifa
Using artificial intelligence technique based on neural network in gas turbine monitoring
M Benrahmoune, A Hafaifa, M Guemana, F Bekkadour
Identification of vibration in gas turbine using Nonlinear Autoregressive with Exogenous Input NARX Neural Network
BR Mohamed, A Hafaifa, G Mouloud
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