Fuzzy modelling considerations in an aero gas turbine engine start cycle

Balakrishnan, S.; Santhakumar, S.

doi:10.1016/0165-0114(95)00195-6

Cited by 11 publications

(2 citation statements)

References 1 publication

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“…That is, the representation as a function of time. However, in reality, the vibrations are much more complex and occur at different frequencies equal to the multiple elements of the machine in functioning [16][17][18][19][20]. The unbalance coordinates in the stationary reference frame OXYZ are as follows:…”

Section: Theoretical Studymentioning

confidence: 99%

Optimization of Energy Consumption through Industrial Maintenance

Bakdid,

Elkihel,

Elkihel

2023

E3S Web of Conf.

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Within rotating machines, tiny imperfections can cause significant vibration amplifications, representing a risk to their proper functioning while leading to a deterioration in the quality and quantity of production. This study examines the impact of unbalance defects on the energy consumption of an industrial system, through the application of two complementary methods: vibration analysis and infrared thermography.

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Section: Theoretical Studymentioning

confidence: 99%

Optimization of Energy Consumption through Industrial Maintenance

Bakdid,

Elkihel,

Elkihel

2023

E3S Web of Conf.

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show abstract

“…The model was capable of capturing system dynamics at any ambient temperature or altitude. Balakrishnan and Santhakumar [20] explored the start cycle performance of a typical aero gas turbine engine and the difficulties which may arise in developing a realistic fuzzy model of the engine during the start-up operation. Bianchi et al [21] built a gas turbine component module library and compared the transient response of an industrial twin-shaft gas turbine to experimental data taken from literature.…”

Section: Gt2014-25056mentioning

confidence: 99%

Modeling and Simulation of the Start-Up Operation of a Heavy-Duty Gas Turbine by Using NARX Models

Asgari

Chen

Sainudiin

et al. 2014

Volume 3A: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration

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In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine (GT) are developed and validated. The GT is a power plant gas turbine (General Electric PG 9351FA) located in Italy.The data used for model development are three time series data sets of two different maneuvers taken experimentally during the start-up procedure. The resulting NARX models are applied to three other experimental data sets and comparisons are made among four significant outputs of the models and the corresponding measured data.The results show that NARX models are capable of satisfactory prediction of the GT behavior and can capture system dynamics during start-up operation.

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Fuzzy Logic for Biological and Agricultural Systems

Center

Verma

1998

Artificial Intelligence for Biology and Agriculture

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Fuzzy modelling considerations in an aero gas turbine engine start cycle

Cited by 11 publications

References 1 publication

Optimization of Energy Consumption through Industrial Maintenance

Optimization of Energy Consumption through Industrial Maintenance

Modeling and Simulation of the Start-Up Operation of a Heavy-Duty Gas Turbine by Using NARX Models

Fuzzy Logic for Biological and Agricultural Systems

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