75261 | ИПУ РАН

Автор(ы):

Автор(ов):

Параметры публикации

Тип публикации:

Доклад

Название:

Comparison of Efficiency of Feature Extraction Methods in the Early Diagnostics of Technical Objects Using Methods of Data Mining

DOI:

10.1109/MLSD58227.2023.10303863

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/10303863

Аннотация

The report discusses the problem of early diagnosis and classification of the technical condition of the aircraft assembly. The main purpose of the report is to compare the types of methods for analyzing vibration signals - the Fast Fourier Transform and the family of wavelet transformations - to assess their effectiveness in solving the problem of classifying the technical condition of the helicopter gearbox.

Библиографическая ссылка:

Голев А.В., Петров Д.А., Московцев А.М. Comparison of Efficiency of Feature Extraction Methods in the Early Diagnostics of Technical Objects Using Methods of Data Mining / Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2023. С. https://ieeexplore.ieee.org/document/10303863.