A novel replacement policy for a linear deteriorating system using stochastic process with dependent components

Stochastic modelling
DOI: 10.1002/asmb.2494 Publication Date: 2019-11-11T08:48:43Z
ABSTRACT
Abstract In this study, a mechanical system with linear deterioration and preventive maintenance is considered. The state of the over time represented by semicontinuous stochastic process dependent components. cycles through on off periods during its lifetime. deteriorates linearly as function usage periods. When offline, conducted, which improves random amount. system's times improvement amounts are assumed to have general distributions. For such system, our objective determine expected value variance for number activities needed lifetime propose novel replacement policy based delay‐time modeling. Finally, effectiveness obtained asymptotic results proposed tested simulation.
SUPPLEMENTAL MATERIAL
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