Використання Нечітких Нейронних Мереж В Задачах Контролю І Діагностики Технічного Стану Авіаційного Двигуна Тв3-117 У Польотних Режимах

Abstract

The subject matter of the article is TV3-117 aircraft engine and methods for monitoring and diagnosing its technical state. The goal of the work is to substantiate the use of the Wang-Mendel fuzzy neural network for the practical implementation of fuzzy expert systems for monitoring the technical state of aircraft gas turbine engines, in particular, TV3-117, based on the use of fuzzy logic. The following methods are used: methods of probability theory and mathematical statistics, methods of neuroinformatics, methods of information systems theory and data processing. Conclusions: The results of the research have shown that artificial neural networks and systems with fuzzy logic are similar to each other, however, each of them has its own advantages and