Operation Modeling Within the Framework of Life Test Optimization for Gas Turbine Engine Based on Life Cycle Model

Natalya Kondratyeva () and Sagit Valeev
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Natalya Kondratyeva: Institute of Informatics, Mathematics and Robotics, Ufa University of Science and Technology, Ufa 450000, Russia
Sagit Valeev: Institute of Informatics, Mathematics and Robotics, Ufa University of Science and Technology, Ufa 450000, Russia

Energies, 2024, vol. 17, issue 24, 1-15

Abstract: The choice of parameters for the life tests of gas turbine engines is a complex multi-criteria task. In this article, as a tool for solving this task, it is proposed to use simulation modeling of the engine life cycle to select gas turbine engine life test parameters. A three-level system for collecting and processing operational data is considered. It is suggested to combine big data and simulation technologies for engine diagnostics, forecasting, and refining the operation model based on aggregated data on aircraft schedules, flight geography, and weather conditions. Special attention is paid to the choice of a method for modeling the operation of aircraft engines. The authors have developed a number of possible methods for a modeling operation within the framework of the engine life cycle model. The results of a comparative assessment of the proposed methods are presented using the example of choosing the parameters of resource tests of an auxiliary power plant. The analysis of the operation is carried out.

Keywords: life test; gas turbine engine; damageability; operation; life cycle; optimization; modeling; efficiency; digital fleet; operation data acquisition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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