 Analysis of simplification in Markov-based models for performance assessment of Safety Instrumented SystemHooshyar Azizpour and Mary Ann Lundteigen Reliability Engineering and System Safety, 2019, vol. 183, issue C, 252-260 Abstract: One of the challenges in the use of Markov model in reliability analysis is the exponential growth of number of states and transition rates when the system gets complex. In reliability analysis of a complex safety-instrumented system a simplified model is always desired for reducing the computational cost. In practice, the complex models can be simplified to a much simpler model, which can give almost similar results with some degree of deviation. Depending on the need for the level of accuracy of results, the deviation can be partly compensated with introducing correction factors. The approximated result from the simplified model may or may not influence decision making depending on the degree of deviation and expected accuracy from the analysis. This paper shows how a complex model is simplified through an analytical approach. Comparison of results from both complex and simplified models is presented to discuss the extent in which, this variation influences decision making. Date: 2019 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:183:y:2019:i:c:p:252-260 DOI: 10.1016/j.ress.2018.09.012 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.