 Integrated importance of multi-state fault tree based on multi-state multi-valued decision diagramShumin Li, Shubin Si, Liudong Xing and Shudong Sun Journal of Risk and Reliability, 2014, vol. 228, issue 2, 200-208 Abstract: Integrated importance measures have been developed to study the effect of component state probabilities and state transition rates on the multi-state system performance, identifying the weakest component to facilitate the system maintenance and optimization activities. This article proposes an analytical method based on multi-state multi-valued decision diagram for computing the integrated importance measure values. Following a discussion of decomposition and physical meaning of integrated importance measures, the modeling method of multi-state multi-valued decision diagram based on multi-state fault tree analysis is introduced. A five-step integrated importance measure analysis approach based on multi-state multi-valued decision diagram is then proposed. Two case studies are implemented to demonstrate the presented methods. Complexity analysis shows that the multi-state multi-valued decision diagram–based method is more computationally efficient than the existing method using Markov–Bayesian networks. Keywords: Multi-state multi-valued decision diagram; integrated importance measure; multi-state system; multi-state fault tree analysis; complexity analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:228:y:2014:i:2:p:200-208 Access Statistics for this article More articles in Journal of Risk and Reliability |
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.