53965

Автор(ы): 

Амосов О. С. (ИПУ РАН, Лаборатория 40)
Амосова С. Г. (ИПУ РАН, Лаборатория 80)
Пащенко Ф. Ф. (ИПУ РАН, Лаборатория 40)
Иочков И. О. (ИПУ РАН, Лаборатория 40)

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Computational Method Basing on Deep Neural Networks to Detect and Classify Defects, Appearing in Rivet Assemblies of Aircraft

ISBN/ISSN: 

978-1-7281-1730-0

DOI: 

10.1109/MLSD.2019.8910985

Наименование конференции: 

  • 2019 12th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2019

Страницы: 

https://ieeexplore.ieee.org/document/8910985
Аннотация
A causal analysis of the occurrence of defects in holes and sockets, mortgages and closing heads of rivets when producing rivet joints of aircraft equipment was conducted. The statement of the problem of defects detection and classification is given. The computational method of defects detection and classification in rivet joints of aircraft equipment by using deep neural networks is developed. The example of modeling is given.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г., Пащенко Ф.Ф., Иочков И.О. Computational Method Basing on Deep Neural Networks to Detect and Classify Defects, Appearing in Rivet Assemblies of Aircraft / Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD). М.: IEEE, 2019. С. https://ieeexplore.ieee.org/document/8910985.