Approach to testing and diagnosis system using aerospace neural network identifier

Control systems


Аuthors

Zaitsev A. V.1*, Kanushkin S. V.2, Nikishov A. .3**, Semenov. . V.2

1. Military Academy of Strategic Rocket Troops named after Peter the Great, SRTMA, 8, Karbysheva str., Balashikha, Moscow region, 143900, Russia
2. Military Academy of Strategic Missile Forses named after Petr Veliky, 9/5, Kitaygorodsky Proezd, Moscow, 109074, Russia
3. Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: ug253@mail.ru
**e-mail: alex_n_nikishov@mail.ru.

Abstract

When using technical systems which can more or less threatening human life and health, especially acute question of timely maintenance of systems designed to prevent or minimize the risk of sudden failure of systems.

Keywords:

testing and diagnostics, aerospace systems, identification


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