[HTML][HTML] Gas turbine engine transient performance and heat transfer effect modelling: A comprehensive review, research challenges, and exploring the future
Y Yang, T Nikolaidis, S Jafari, P Pilidis - Applied Thermal Engineering, 2024 - Elsevier
Gas turbine transient simulation is an important tool in analysing engine performance during
changes in operating conditions. This paper provides a comprehensive review of the …
changes in operating conditions. This paper provides a comprehensive review of the …
Gas turbine aero-engines real time on-board modelling: A review, research challenges, and exploring the future
On-board real time modelling for gas turbine aero-engines has been extensively used for
engine performance improvement and reliability. This has been achieved by the utilization of …
engine performance improvement and reliability. This has been achieved by the utilization of …
Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory
Y Wang, S Tang, M Deng - International Journal of Robust and …, 2022 - Wiley Online Library
The nonlinear autoregressive exogenous (NARX) model shows a strong expression
capacity for nonlinear systems since these systems have limited information about their …
capacity for nonlinear systems since these systems have limited information about their …
Performance and emission characteristics of a CI engine using nano particles additives in biodiesel-diesel blends and modeling with GP approach
The performance and the exhaust emissions of a diesel engine operating on nano-diesel-
biodiesel blended fuels has been investigated. Multi wall carbon nano tubes (CNT)(40, 80 …
biodiesel blended fuels has been investigated. Multi wall carbon nano tubes (CNT)(40, 80 …
Improved generalization of NARX neural networks for enhanced metamodeling of nonlinear dynamic systems under stochastic excitations
Nonlinear autoregressive networks with exogenous inputs (NARX) are popular in data-
driven metamodeling of complex dynamic systems. One practical challenge is the …
driven metamodeling of complex dynamic systems. One practical challenge is the …
Artificial neural network–based system identification for a single-shaft gas turbine
During recent decades, artificial intelligence has been employed as a powerful tool for
identification of complex industrial systems with nonlinear dynamics, such as gas turbines …
identification of complex industrial systems with nonlinear dynamics, such as gas turbines …
Novel adaptive gravitational search algorithm for fuzzy controlled servo systems
This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal
tuning of fuzzy controlled servo systems characterized by second-order models with an …
tuning of fuzzy controlled servo systems characterized by second-order models with an …
Modelling and simulation of gas turbines
Today, gas turbines (GTs) are one of the major parts of modern industry. They have played a
key role in aeronautical industry, power generation, and main mechanical drivers for large …
key role in aeronautical industry, power generation, and main mechanical drivers for large …
Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
This paper proposes new stability analysis and convergence results applied to the Iterative
Feedback Tuning (IFT) of a class of Takagi–Sugeno–Kang proportional-integral-fuzzy …
Feedback Tuning (IFT) of a class of Takagi–Sugeno–Kang proportional-integral-fuzzy …
A new approach to the gray-box identification of wiener models with the application of gas turbine engine modeling
E Mohammadi, M Montazeri-Gh - … of Engineering for …, 2015 - asmedigitalcollection.asme.org
In this paper, a new approach is presented for the gray-box identification of Wiener models
(WM); and to evaluate the performance of the proposed method, it is used to estimate the …
(WM); and to evaluate the performance of the proposed method, it is used to estimate the …