71686

Автор(ы): 

Вересников Г. С. (ИПУ РАН, Лаборатория 46)
Скрябин А. В. (ИПУ РАН, Лаборатория 46)

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Diagnostics of Mixed Type Failures in the Aircraft Electromechanical Actuator Gear by Using Neural Networks

DOI: 

10.1109/MLSD55143.2022.9934578

Наименование конференции: 

  • 2022 15th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

https://ieeexplore.ieee.org/document/9600182
Аннотация
We proposed a method for designing the algorithms to determine the aircraft electromechanical actuators (EMA) technical condition by using the neural networks to simultaneously progress failures of various physical natures. We presented the results of the computational research on determining the EMA failures associated with changes in the dry friction and backlash in the gear.

Библиографическая ссылка: 

Вересников Г.С., Скрябин А.В. Diagnostics of Mixed Type Failures in the Aircraft Electromechanical Actuator Gear by Using Neural Networks / Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2022. С. https://ieeexplore.ieee.org/document/9600182.