Multi-State Availability Modeling in Practice

Kishor S. Trivedi (), Dong Seong Kim () and Xiaoyan Yin ()
Additional contact information
Kishor S. Trivedi: Duke University
Dong Seong Kim: Duke University
Xiaoyan Yin: Duke University

Chapter Chapter 12 in Recent Advances in System Reliability, 2012, pp 165-180 from Springer

Abstract: Abstract This chapter presents multi-state availability modeling in practice. We use three analytic modeling techniques; (1) continuous time Markov chains, (2) stochastic reward nets, and (3) multi-state fault trees. Two case studies are presented to show the usage of these modeling techniques: a simple system with two boards and the processors subsystem of the VAXcluster. The three modeling techniques are compared in terms of the solution accuracy and the solution time.

Keywords: Continuous Time Markov Chain; Reward Rate; Underlie Markov Chain; Star Coupler; Permanent Failure (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-2207-4_12

Ordering information: This item can be ordered from
http://www.springer.com/9781447122074

DOI: 10.1007/978-1-4471-2207-4_12

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().