The logarithmic basis to measure the amount of information related to the assessment of reliability of elements of the technical system
URI (для ссылок/цитирований):
https://iopscience.iop.org/article/10.1088/1757-899X/537/5/052003https://elib.sfu-kras.ru/handle/2311/128878
Автор:
Dulesov, A. S.
Karandeev, D. J.
Eremeeva, O. S.
Khrustalev, V. I.
Dulesova, N V
Коллективный автор:
Хакасский технический институт — филиал СФУ
Кафедра электроэнергетики
Дата:
2019Журнал:
IOP Conf. Series: Materials Science and Engineering537 (2019) 052003IOP PublishingКвартиль журнала в Scopus:
без квартиляКвартиль журнала в Web of Science:
без квартиляБиблиографическое описание:
Dulesov, A. S. The logarithmic basis to measure the amount of information related to the assessment of reliability of elements of the technical system [Текст] / A. S. Dulesov, D. J. Karandeev, O. S. Eremeeva, V. I. Khrustalev, N V Dulesova // IOP Conf. Series: Materials Science and Engineering537 (2019) 052003IOP Publishing. — 2019. — Т. 537 (№ 25).Аннотация:
The possibilities of application of logarithmic measure in the problem of reliability
evaluation of elements of a technical system are considered. The article presents a brief analysis
of the processes of additive and multiplicative growth of system indicators, among which the
probability of failure-free operation and failure rate are considered. These indicators were
considered in relation to the exponential distribution law of random variables associated with
multiplicative growth. The growth of reliability indicators is expressed through the natural
logarithm, which allows to determine the amount of information belonging to the element of the
system. Considering the additive growth and multiplicative growth in the aggregate, the
mathematical expressions of the determination of information entropy in the case of operation
of the technical system are presented. The obtained quantitative entropy values are the basis for
assessing the state and level of reliability of the system. An example of the calculation is given,
confirming the importance of the participation amount of entropy in the problem of estimating
the reliability of systems.