Paper Info
Title
Automatic creation of Markov models for reliability assessment of safety instrumented systems
Abstract
After the release of new international functional safety standards like IEC 61508, people care more for the safety and availability of safety instrumented systems. Markov analysis is a powerful and flexible technique to assess the reliability measurements of safety instrumented systems, but it is fallible and time-consuming to create Markov models manually. This paper presents a new technique to automatically create Markov models for reliability assessment of safety instrumented systems. Many safety related factors, such as failure modes, self-diagnostic, restorations, common cause and voting, are included in Markov models. A framework is generated first based on voting, failure modes and self-diagnostic. Then, repairs and common-cause failures are incorporated into the framework to build a complete Markov model. Eventual simplification of Markov models can be done by state merging. Examples given in this paper show how explosively the size of Markov model increases as the system becomes a little more complicated as well as the advancement of automatic creation of Markov models.
Year
DOI
Venue
2008
10.1016/j.ress.2007.03.029
Reliability Engineering & System Safety
Keywords
DocType
Volume
Safety instrumented systems,Markov models,Reliability assessment,Automatic modeling
Journal
93
Issue
ISSN
Citations 
6
0951-8320
15
PageRank 
References 
Authors
0.85
4
2
Name
Order
Citations
PageRank
Haitao Guo114720.07
Xianhui Yang2586.95