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Simulating state-dependent systems with partial aging in standby

Citation

Nikolova, N and Fan, G and Symes, M and Tenekedjiev, K, Simulating state-dependent systems with partial aging in standby, Proceedings of the 10th International Conference on Intelligent Systems (IS), 28-30 August 2020, Virtual Conference, Online (Varna, Bulgaria), pp. 51-60. ISBN 978-1-7281-5456-5 (2020) [Refereed Conference Paper]

Copyright Statement

Copyright 2020 IEEE

DOI: doi:10.1109/IS48319.2020.9200193

Abstract

We analyze a two-component standby system with failures in standby (2SBS). Typically, such a system is interpreted as a state-dependent system with time-dependent failure rates. When the backup component is aging in standby as if it is working, the 2SBS is denoted as 2SBS with full aging. Such a system can be modelled with a system of ODEs and may have a numerical solution. Alternatively, simulation modelling can generate the probability of the system and estimate the important reliability characteristics. However, when the backup component does not age in standby (2SBS with no aging), or when the backup component ages in standby slower than in operation (2SBS with partial aging), then there is no system of ODEs because the system is not state dependent. We develop simulation algorithms to solve the 2SBS with no aging and with partial aging. The partial aging model assumes that the aging uses reliability as a proxy variable for aging and introduces the equivalent aging time T* as the starting time for the conditional reliability function of the backup component in standby. An extensive numerical example is provided.

Item Details

Item Type:Refereed Conference Paper
Keywords:reliability, standby systems, Markov models, state probability functions, full aging in standby, no aging in standby, ageing, differential equations, failure analysis, probability, reliability, 2SBS, time dependent failure rates, partial aging model
Research Division:Engineering
Research Group:Engineering practice and education
Research Field:Risk engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Nikolova, N (Professor Nataliya Nikolova)
UTAS Author:Fan, G (Mr Guixin Fan)
UTAS Author:Symes, M (Mr Mark Symes)
UTAS Author:Tenekedjiev, K (Professor Kiril Tenekedjiev)
ID Code:141978
Year Published:2020
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2020-12-06
Last Modified:2021-01-18
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