| 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 | 45 | 2021 |
| 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 | 27 | 2015 |
| 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 | 25 | 2017 |
| 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 | 23 | 2015 |
| Vibration modeling improves pipeline performance, costs B Mohamed, A Hafaifa, G Mouloud Oil & Gas Journal 113 (3), 98-100, 2015 | 23 | 2015 |
| 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 | 19 | 2018 |
| 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 | 11 | 2016 |
| 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 | 10 | 2017 |
| 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 | 6 | 2017 |
| 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 | 4 | 2023 |
| 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 | 4 | 2016 |
| 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 | 3 | 2016 |
| 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 | 1 | 2023 |
| 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 | 1 | 2017 |
| 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 | 1 | 2017 |
| 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 | 1 | 2015 |
| 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 | 1 | 2014 |
| PENNWELL® BR Mohamed, A Hafaifa, G Mouloud Oil & Gas Journal, 23, 2015 | | 2015 |
| 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 | | 2015 |
| Reliability estimation in industrial process using Log-normal distribution: Gas turbine application DA Zohair, A Hafaifa, MB Rahmoune, A Salam | | |
Mouloud GUEMANAMedea UniversityVerified email at univ-medea.dz
