Suivre
Aissat Sid-ali
Aissat Sid-ali
PhD
Adresse e-mail validée de univ-djelfa.dz
Titre
Citée par
Citée par
Année
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
82022
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
72023
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
52021
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
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–6