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Mohamed Ben Rahmoune
Mohamed Ben Rahmoune
University of Tamanghasset, Algeria
Verified email at univ-tam.dz - Homepage
Title
Cited by
Cited by
Year
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
472021
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
272015
Fault diagnosis in gas turbine based on neural networks: Vibrations speed application
M Ben Rahmoune, A Hafaifa, M Guemana
Advances in Acoustics and Vibration: Proceedings of the International …, 2017
252017
Vibration modeling improves pipeline performance, costs
B Mohamed, A Hafaifa, G Mouloud
Oil & Gas Journal 113 (3), 98-100, 2015
252015
Detection and modeling vibrational behavior of a gas turbine based on dynamic neural networks approach
M Benrahmoune, H Ahmed, G Mouloud, C XiaoQi
Strojnícky časopis-Journal of Mechanical Engineering 68 (3), 143-166, 2018
242018
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
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
102017
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
102016
Diagnostic des défaillances d’une turbine à gaz à base des réseaux de neurones artificiels pour l’amélioration de leur système de détection des vibrations
MBEN RAHMOUNE
PhD thesis, thèse de doctorat, Université Ziane Achour de Djelfa, 2017
72017
Gas turbine vibration detection and identification based on dynamic artificial neural networks
MB Rahmoune, A Íratni, A Hafaifa, I Colak
Electrotehnica, Electronica, Automatica 71 (2), 19-27, 2023
62023
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
42016
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
32016
Extracting electrical parameters of solar cells using Lambert function
M Bouzidi, M BEN RAHMOUNE, A Nasri, S Mansouri, M Hamouda
Diagnostyka 25 (2), 1-8, 2024
22024
Fault detection and diagnosis of photovoltaic system based on neural networks approach
BM Rahmoune, A Iratni, AS Amari, A Hafaifa, I Colak
Diagnostyka 24, 2023
22023
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
12017
Performance Study of Different Metaheuristics for Diabetes Diagnosis
F Bekaddour, MB Rahmoune, C Salim, A Hafaifa
Advances in Computational Intelligence: 14th International Work-Conference …, 2017
12017
Gas turbine supervision based on neural networks in degraded mode: Presence of vibrations
BR Mohamed, A Hafaifa, G Mouloud
The 1stInternational Conference on Applied Automation and Industrial …, 2015
12015
Vibration monitoring in gas turbine speed using artificial neural networks
BR Mohamed, A Hafaifa, G Mouloud
The 3rd International Conference on Information Processing and Electrical …, 2014
12014
Intelligent fault detection of photovoltaic panel using neural networks
M Bouzidi, MB Rahmoune, A Nasri
Studies in Engineering and Exact Sciences 5 (1), 3161-3177, 2024
2024
PENNWELL®
BR Mohamed, A Hafaifa, G Mouloud
Oil & Gas Journal, 23, 2015
2015
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