43031

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

The development of data mining methods criteria to identify failures of aircraft control surface actuator

Наименование источника: 

  • Procedia Computer Science

Обозначение и номер тома: 

v. 112

Город: 

  • Marseille

Издательство: 

  • Elsevier

Год издания: 

2017

Страницы: 

1007–1014
Аннотация
The article is devoted to the actual task of developing criteria for evaluating methods of data mining to identify the technical state of the aircraft control surface actuator. A list of criteria and their practical significance are presented in the framework of the problem of recognition of failures and degradations of the electro mechanical actuator. On the basis of the proposed criteria, there may be requirements for data mining methods for their use in the system of early diagnosis (health usage monitoring system) of technical systems.

Библиографическая ссылка: 

Вересников Г.С., Скрябин А.В. The development of data mining methods criteria to identify failures of aircraft control surface actuator // Procedia Computer Science. 2017. v. 112. С. 1007–1014.