Quantification of information in the closed structure of a technical system | Научно-инновационный портал СФУ

Quantification of information in the closed structure of a technical system

Год издания: 2017

Идентификатор DOI: 10.1109/ICIEAM.2016.7911658

Ключевые слова: information measure, informational entropy, technical system structure, Manufacture, Closed structures, Information measures, Initial structures, Mathematical expressions, Qualitative attributes, Structural reliability, Technical systems, Entropy

Аннотация: The article shows a technique to quantify information within the structure of a technical system. The structure indicators are accepted as probability states of the system elements that are differentiated into two opposite states according to a qualitative attribute. The author gives mathematical expressions to present calculation aimed at quantification of informational entropy. The technique is based on decomposition of the initial structure into two schemes (series-parallel and parallel-series) as regard to a singular element. The information is quantified for each scheme according to the presented formulae. The final result was obtained by adding quantity of information of each scheme with due account for the information of a singular element. The obtained results were compared with similar values calculated by the method of full enumeration of system element states. Thus, errors of the calculations were defined. The offered method allows selecting a system with a higher efficiency level or structural reliability due to the comparison of entropy values of opposite states. © 2016 IEEE.

Ссылки на полный текст

Издание

Журнал: 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings

Авторы

  • Dulesov A.S. (Khakas Technical Institute of Siberian Federal University, Abakan, Russian Federation)
  • Khrustalev V.I. (Khakas Technical Institute of Siberian Federal University, Abakan, Russian Federation)
  • Dulesova N.V. (Khakas Technical Institute of Siberian Federal University, Abakan, Russian Federation)

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.