67215

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: 

Feature Selection Algorithms for Forecasting Technical Condition of Electromechanical Actuator

DOI: 

10.1109/MLSD52249.2021.9600182

Наименование конференции: 

  • 2021 14th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 14th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2021

Страницы: 

https://ieeexplore.ieee.org/document/9600182/
Аннотация
This paper concerns the problem of searching for informative features to forecast the technical condition of an electromechanical actuator using the time series analysis technique. Algorithms have been suggested based on the optimization models enabling to find ranges of stationary signal spectrum integration providing maximal quality indicators of the trend.

Библиографическая ссылка: 

Вересников Г.С., Скрябин А.В. Feature Selection Algorithms for Forecasting Technical Condition of Electromechanical Actuator / Proceedings of the 14th International Conference "Management of Large-Scale System Development" (MLSD). М.: IEEE, 2021. С. https://ieeexplore.ieee.org/document/9600182/.