67217

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

The development of algorithms for EMA fault early detection system

Электронная публикация: 

Да

ISBN/ISSN: 

978-3-932182-91-4

Наименование конференции: 

  • 32th Congress of the International Council of the Aeronautical Sciences (Shanghai, China, 2021)

Наименование источника: 

  • Proceedings of the 32th Congress of the International Council of the Aeronautical Sciences (Shanghai, China, 2021)

Город: 

  • Shanghai, China

Издательство: 

  • ICAS

Год издания: 

2021

Страницы: 

https://www.icas.org/ICAS_ARCHIVE/ICAS2020/data/preview/ICAS2020_0239.htm
Аннотация
The paper deals with the problem of early detection algorithm construction to identify failures of aircraft electromechanical actuator (EMA). A scheme for processing EMA operation data using data mining methods is proposed. Methods of feature selection are described, which are used to reduce the dimension of the controlled parameters vector. The computational experiments results based on the data obtained using the mathematical model of the UAV control surface EMA are presented.

Библиографическая ссылка: 

Вересников Г.С., Скрябин А.В., Баженов С.Г. The development of algorithms for EMA fault early detection system / Proceedings of the 32th Congress of the International Council of the Aeronautical Sciences (Shanghai, China, 2021). Shanghai, China: ICAS, 2021. С. https://www.icas.org/ICAS_ARCHIVE/ICAS2020/data/preview/ICAS2020_0239.htm.