Classification of GTE operation modes with use of neural network technology

Authors

  • Vladimir Ivanovich Vasilev
  • Sergey Vladimirovich Zhernakov

Keywords:

Режимы работы ГТД ; нейроклассификатор ; алгоритм обучения ; нейронные сети

Abstract

The neural network algorithms of aviation gasturbine engine operation mode classification are considered. The problem of GTE operation mode classification in the neural network basis is formalized. The engineering technique which can be applied at the stages of the stand and flying tests of aviation GTE is offered.

Published

2018-07-09

Issue

Section

INFORMATICS, COMPUTER ENGINEERING AND MANAGEMENT