59217

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Identification of Informative Signs of Engine Wear Based on Experimental Data Processing

Электронная публикация: 

Да

DOI: 

10.1109/MLSD49919.2020.9247751

Наименование конференции: 

  • 2020 13th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2020

Страницы: 

https://ieeexplore.ieee.org/document/9247751
Аннотация
This paper presents the results of primary data processing of the experiment carried out at the Institute of Control Sciences to study the aging of the U5 KV400 electric motor, developed by the T-motor company for use in copters. As the engine deteriorates, an increase in the amplitude of the vibration and sound signals is observed and the frequencies at which this occurs are determined. In particular, it is expected that an increase in the amplitude of vibrations and sound at the magnetostriction frequency can serve as an informative sign of the increased engine wear.

Библиографическая ссылка: 

Спиридонов С.В., Вороничев П.П., Колоколов А.С., Искаков А.Б. Identification of Informative Signs of Engine Wear Based on Experimental Data Processing / Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD). Moscow: IEEE, 2020. С. https://ieeexplore.ieee.org/document/9247751.