75186

Автор(ы): 

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

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Optimization Algorithms for Informative Features Extraction to Predict the Aircraft Electromechanical Systems Technical Condition

DOI: 

10.1109/MLSD58227.2023.10303769

Наименование конференции: 

  • 2023 16th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

https://ieeexplore.ieee.org/document/10303769
Аннотация
The article proposes optimization algorithms for identifying informative features for predicting the aircraft electromechanical systems' technical conditions using spectral and time series analysis. The article presents the study results concerning developed algorithms on the data obtained using a mathematical model of the unmanned aerial vehicle's electromechanical actuator.

Библиографическая ссылка: 

Вересников Г.С., Скрябин А.В., Голев А.В. Optimization Algorithms for Informative Features Extraction to Predict the Aircraft Electromechanical Systems Technical Condition / Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2023. С. https://ieeexplore.ieee.org/document/10303769.