Identification of twin-shaft gas turbine based on hybrid decoupled state multiple model approach-Reference-Cited by-同舟云学术

Identification of twin-shaft gas turbine based on hybrid decoupled state multiple model approach

Published:2023-04-29 Issue:22 Volume:27 Page:17267-17289
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Aissat Sidali,Iratni Abdelhamid^ORCID,Hafaifa Ahmed^ORCID,Guemana Mouloud^ORCID,Alshammari Obaid S.,Colak Ilhami^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08059-2.pdf

Reference56 articles.

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3. Aissat S, Hafaifa A, Iratni A, Guemana M, Chen XiaoQi (2022a) Exploitation of multi-models identification with decoupled states in twin shaft gas turbine variables for its diagnosis based on parity space approach. Int J Dyn Control 10:25–48

4. Aissat S, Hafaifa A, Iratni A, Hadroug N, Chen XiaoQi (2022b) Fuzzy decoupled-states multi-model identification of gas turbine operating variables through the use their operating data. ISA Trans. https://doi.org/10.1016/j.isatra.2022.07.005

5. Alaoui M, Iratni A, Alshammari OS, Hafaifa A, Colak I, Guemana M (2022a) Stability and analysis of vibrations bifurcation based on dynamic modeling of a solar titan 130 gas turbine. J Mech Eng 72(2):1–14