54974

Автор(ы): 

Автор(ов): 

5

Параметры публикации

Тип публикации: 

Доклад

Название: 

Creation of Predictive Analytics System for Power Energy Objects

DOI: 

10.1109/MLSD.2019.8911082

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/8911082
Аннотация
Paper presents a review of diagnostic methods and forecasting the technical condition. The relevance of the task of forecasting the values of technological parameters in the framework of solving the problem of forecasting the technical condition of power equipment for the condition-based repairs organization is shown. The architecture of the predictive analytics system for energy facilities has been developed. Methods of pre-processing Big data and forecasting parameter values are considered. The effectiveness of artificial neural networks in solving these problems is shown.

Библиографическая ссылка: 

Аракелян Э.К., Пащенко А.Ф., Цуриков Г.Н., Щербатов И.А., Титов Ф.М. Creation of Predictive Analytics System for Power Energy Objects / Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD). М.: IEEE, 2019. С. https://ieeexplore.ieee.org/document/8911082.