On Reliability Function of a k-out-of-n System with Decreasing Residual Lifetime of Surviving Components after Their Failures

We consider the reliability function of a k-out-of-n system under conditions that failures of its components lead to an increase in the load on the remaining ones and, consequently, to a change in their residual lifetimes. Development of models able to take into account that failures of a system’s components lead to a decrease in the residual lifetime of the surviving ones is of crucial significance in the system reliability enhancement tasks. This paper proposes a novel approach based on the application of order statistics of the system’s components lifetime to model this situation. An algorithm for calculation of the system reliability function and two moments of its uptime has been developed. Numerical study includes sensitivity analysis for special cases of the considered model based on two real-world systems. The results obtained show the sensitivity of system’s reliability characteristics to the shape of lifetime distribution, as well as to the value of its coefficient of variation at a fixed mean. © 2022 by the authors.

Авторы
Rykov V. , Ivanova N. , Kozyrev D. , Milovanova T.
Журнал
Издательство
MDPI AG
Номер выпуска
22
Язык
Английский
Статус
Опубликовано
Номер
4243
Том
10
Год
2022
Организации
  • 1 Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str, Moscow, 117198, Russian Federation
  • 2 Department of Applied Mathematics and Computer Modelling, National University of Oil and Gas “Gubkin University”, 65 Leninsky Prospect, Moscow, 119991, Russian Federation
  • 3 Institute for Transmission Information Problems (Named after A.A. Kharkevich) RAS, Bolshoy Karetny, 19, GSP-4, Moscow, 127051, Russian Federation
  • 4 V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, 65 Profsoyuznaya Str, Moscow, 117997, Russian Federation
Ключевые слова
dependent failures; k-out-of-n system; order statistics; reliability characteristics; sensitivity analysis
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