78585

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: 

Efficiency Comparison of Feature Processing Methods in Early Diagnostics Using Artificial Intelligence

Электронная публикация: 

Да

ISBN/ISSN: 

979-8-3503-7571-8

DOI: 

10.1109/MLSD61779.2024.10739581

Наименование конференции: 

  • 2024 17th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2024

Страницы: 

https://ieeexplore.ieee.org/document/10739581
Аннотация
The article proposes to consider methods of early diagnosis and classification of the technical condition of the aircraft unit. The main purpose of the article is to compare different types of time signal analysis methods – general purpose methods and statistical methods - to assess their effectiveness in classifying the technical condition of an electromechanical drive.

Библиографическая ссылка: 

Вересников Г.С., Скрябин А.В., Голев А.В. Efficiency Comparison of Feature Processing Methods in Early Diagnostics Using Artificial Intelligence / Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2024. С. https://ieeexplore.ieee.org/document/10739581.