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

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.