Abstract
In presented work, the main approaches of engine technical state assessment are presented with their benefits and limitations. To negotiate constraints of these methods, they should be applied together. However, it is shown, that these methods do not cover present demands of operators and additional methods have to be implemented. Two high-potential methods were observed: model-based diagnostic and AI-based diagnostic. First method is based on thermodynamic model of engine while second one is data-driven approach. Recent works in theses sphere of knowledge have been reviewed and measurement parameters, used for model development, were listed and counted. N2 and N1 speeds, HPC exit pressure and temperature are the most frequently used parameters and they should be considered as main parameters for future research.
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Zhdanov, V., Grakovski, A. (2022). Modern Trends in Approaches to Modelling Technical State of Jet Engines. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2021. Lecture Notes in Networks and Systems, vol 410. Springer, Cham. https://doi.org/10.1007/978-3-030-96196-1_12
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