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Ventilation systems failure prediction on the basis of the stochastic branching processes mathematical model


Article Information

Title: Ventilation systems failure prediction on the basis of the stochastic branching processes mathematical model

Authors: Valentin I. Gorshkov, Tamara I. Koroleva, Evgeny G. Ezhov

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2019

Volume: 14

Issue: 5

Language: English

Keywords: Reliabilityventilation systemsstochastic branching processes

Categories

Abstract

The article considers a procedure of reliability evaluation of ventilation systems on the basis of controlled stochastic branching processes. The ventilation system under study is presented as a set of four main subsystems-modules interacting in the process of operation. The reliability indicators of functioning of the considered modules are defined, i.e. the probability of failure-free operation, average failure-free running time and indicator of durability - technical resource. As part of the research, a software and methodological complex was developed on the basis of the resulting mathematical model.


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