QUANTIFICATION OF INFORMATION IN THE CLOSED STRUCTURE OF A TECHNICAL SYSTEM
URI (для ссылок/цитирований):
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911658&isnumber=7910885https://elib.sfu-kras.ru/handle/2311/70048
Автор:
Дулесов Александр Сергеевич Dulesov, Aleksandr Sergeevich
Хрусталев Виталий Игоревич Khrustalev, Vitaly Igorevich
Дулесова Наталья Валериевна Dulesova, Natalia Valeriyvna
Коллективный автор:
Хакасский технический институт — филиал СФУ
Кафедра электроэнергетики
Дата:
2017Журнал:
In 2016, International Conference on Industrial Engineering was held on 19-20 of MayКвартиль журнала в Scopus:
без квартиляКвартиль журнала в Web of Science:
без квартиляБиблиографическое описание:
Дулесов Александр Сергеевич Dulesov, Aleksandr Sergeevich. QUANTIFICATION OF INFORMATION IN THE CLOSED STRUCTURE OF A TECHNICAL SYSTEM [Текст] / Aleksandr Sergeevich Дулесов Александр Сергеевич Dulesov, Vitaly Igorevich Хрусталев Виталий Игоревич Khrustalev, Natalia Valeriyvna Дулесова Наталья Валериевна Dulesova // In 2016, International Conference on Industrial Engineering was held on 19-20 of May. — 2017.Аннотация:
The article shows a technique to quantify information within the structure of a technical system. The structure indicators are accepted as probability states s 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 gained by adding quantity of information of each scheme with due account for the information of a singular element. The obtained results were compared to similar values calculated by the method of full enumeration of system element states. Thus, there were defined errors of the calculations. The offered method allows to select a system with a higher efficiency level or structural reliability due to the comparison of entropy values of opposite states.
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