The logarithmic basis to measure the amount of information related to the assessment of reliability of elements of the technical system : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering - MIP: Engineering-2019; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

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 Показать полностьюare 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.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 537

Номера страниц: 052003

Издатель: Institute of Physics Publishing

Персоны

  • Dulesov A.S. (Katanov Khakass State University)
  • Karandeev D.J. (Katanov Khakass State University)
  • Eremeeva O.S. (Katanov Khakass State University)
  • Khrustalev V.I. (Katanov Khakass State University)
  • Dulesova N.V. (Khakas Technical Institute,Siberian Federal University)

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