Renewal process and operation strategies in the theory of reliability of technical systems under prefailure lives distributed as a mixture of two exponential distributions

Описание

Тип публикации: статья из журнала

Год издания: 2017

Идентификатор DOI: 10.3103/S1052618817020169

Ключевые слова: Failure analysis, Method of moments, Mixtures, Reliability, Constant failure rate, Exponential distributions, Initial operation, Operating strategy, Operation strategy, Renewal functions, Renewal process, Technical systems, Reliability theory

Аннотация: A number of problems in the reliability theory as applied to technical systems is considered for the case when the time-to-failure values are distributed as a mixture of two exponential distributions. This consists of finding a renewal function for a simple restorative (renewal) process, a comparison of three operating strategies aПоказать полностьюccording to the criterion of minimal cost intensity and using the method of moments to find point estimates for the parameters involved in the mixture. The choice of the mixture is caused by the fact that its failure rate has a running-in period that is characteristic within the initial operation period of technical systems, whereas afterwards, the failure rate is almost constant. This distinguishes the considered mixture from the exponential distribution with a constant failure rate widely used in the reliability theory. © 2017, Allerton Press, Inc.

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Издание

Журнал: Journal of Machinery Manufacture and Reliability

Выпуск журнала: Vol. 46, Is. 2

Номера страниц: 161-168

Персоны

  • Vaynshteyn I.I. (Institute of Space and Information Technologies at the Siberian Federal , Krasnoyarsk, Russian Federation)
  • Fedotova I.M. (Institute of Space and Information Technologies at the Siberian Federal , Krasnoyarsk, Russian Federation)
  • Tsibul’skiy G.M. (Institute of Space and Information Technologies at the Siberian Federal , Krasnoyarsk, Russian Federation)
  • Vaynshteyn Y.V. (Institute of Space and Information Technologies at the Siberian Federal , Krasnoyarsk, Russian Federation)

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