A Stochastic Model for Achieving Required Level of Availability Based on the Repair Rate Analysis

Bibliografske podrobnosti
Parent link:Tehnicki Vjesnik-Technical Gazette
Vol. 26, iss. 4.— 2019.— [P. 1171-1175]
Korporativna značnica: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Drugi avtorji: Kontrec N. Natasa, Petrovic M. Milena, Panich S. Stefan, Milosevic H. Hranislav
Izvleček:Title screen
The aim of this paper is to set framework for the repair rate in order to achieve required availability of a repairable system with alternating renewal process where the failure rate is Weibull distributed. In order to accomplish this goal, this paper proposes a novel model for a complete stochastic analysis of the repair rate. The resulting equation for probability density function of the repair rate enables precise modelling of the repair rate process for related values of availability and failure rate. The obtained results can be used for dynamic forecasting of system’s characteristics, planning of maintenance activities, inventory and servicing capacities.
Izdano: 2019
Teme:
Online dostop:https://doi.org/10.17559/TV-20171220201513
Format: Elektronski Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660776
Opis
Izvleček:Title screen
The aim of this paper is to set framework for the repair rate in order to achieve required availability of a repairable system with alternating renewal process where the failure rate is Weibull distributed. In order to accomplish this goal, this paper proposes a novel model for a complete stochastic analysis of the repair rate. The resulting equation for probability density function of the repair rate enables precise modelling of the repair rate process for related values of availability and failure rate. The obtained results can be used for dynamic forecasting of system’s characteristics, planning of maintenance activities, inventory and servicing capacities.
DOI:10.17559/TV-20171220201513