Abstract
Application of neural networks in problems of aircraft engineering diagnostics exemplified by the diagnostics control of the technical state of the aircraft engine TV3-117 in the on-board system is described. The relevance of this work is the ability to control certain parameters, such as the rotor speed of the compressor, the temperature of the gas behind the turbine and the pressure behind the compressor, in real time, which will identify deviations in the engine and promptly decide on further operation of the aircraft. The decision-making process on the technical condition of the engine, as a result of monitoring its parameters, is carried out on the basis of fuzzy logic, which is an important aspect in conditions of incompleteness of information.
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