Fuzzy decoupled-states multi-model identification of gas turbine operating variables through the use of their operating data S Aissat, A Hafaifa, A Iratni, N Hadroug, XQ Chen ISA transactions 133, 384-396, 2023 | 11 | 2023 |
Exploitation of multi-models identification with decoupled states in twin shaft gas turbine variables for its diagnosis based on parity space approach S Aissat, A Hafaifa, A Iratni, M Guemana, XQ Chen International Journal of Dynamics and Control 10 (1), 25-48, 2022 | 8 | 2022 |
Identification of two-shaft gas turbine variables using a decoupled multi-model approach with genetic algorithm S Aissat, A Hafaifa, A Iratni, M Guemana Periodica Polytechnica Mechanical Engineering 65 (3), 229-245, 2021 | 5 | 2021 |
Identification of twin-shaft gas turbine based on hybrid decoupled state multiple model approach S Aissat, A Iratni, A Hafaifa, M Guemana, OS Alshammari, I Colak Soft Computing 27 (22), 17267-17289, 2023 | | 2023 |
Identification of a two shaft gas turbine using multi model with single input and multiple output: Decoupled state approach SA Aissat, A Hafaifa, M Guemana, A Kouzou 2018 International Conference on Applied Smart Systems (ICASS), 1-8, 2018 | | 2018 |
Diagnostic de défauts d'une turbine à gaz à base des équations non linéaires de parité: investigation de l'approche multi modèles SA Aissat Université de Djelfa-Ziane Achour, 0 | | |