Renewal process and operation strategies in the theory of reliability of technical systems under prefailure lives distributed as a mixture of two exponential distributions
- Authors: Vaynshteyn I.I.1, Fedotova I.M.1, Tsibul’skiy G.M.1, Vaynshteyn Y.V.1
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Affiliations:
- Institute of Space and Information Technologies at the Siberian Federal University
- Issue: Vol 46, No 2 (2017)
- Pages: 161-168
- Section: Reliability, Strength, and Wear Resistance of Machines and Structures
- URL: https://journals.rcsi.science/1052-6188/article/view/193278
- DOI: https://doi.org/10.3103/S1052618817020169
- ID: 193278
Cite item
Abstract
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 according 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.
About the authors
I. I. Vaynshteyn
Institute of Space and Information Technologies at the Siberian Federal University
Author for correspondence.
Email: isvain@mail.ru
Russian Federation, Krasnoyarsk
I. M. Fedotova
Institute of Space and Information Technologies at the Siberian Federal University
Email: isvain@mail.ru
Russian Federation, Krasnoyarsk
G. M. Tsibul’skiy
Institute of Space and Information Technologies at the Siberian Federal University
Email: isvain@mail.ru
Russian Federation, Krasnoyarsk
Yu. V. Vaynshteyn
Institute of Space and Information Technologies at the Siberian Federal University
Email: isvain@mail.ru
Russian Federation, Krasnoyarsk