Advanced Fault Tree Modeling

dc.creatorSchneeweiss,Winfrid
dc.date1999
dc.date.accessioned2024-02-06T12:50:14Z
dc.date.available2024-02-06T12:50:14Z
dc.descriptionFault trees show which joint components' faults mean system faults. Fault trees can often be used to determine dependability parameters of systems. Here it is shown that i) binary decision diagrams (BDDs) can also be used to calculate system mean failure frequency, ii) modeling dynamics of fault trees does not always mean Markov modeling, iii) a deeper understanding of interrelations between s-dependent components is supported, rather, by Petri nets than by state transition graphs.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-005-10-0633
dc.identifierhttps://lib.jucs.org/article/27601/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/7633
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 5(10): 633-643
dc.subjectFault tree
dc.subjectShannon tree
dc.subjectBinary decision diagram
dc.subjectMarkov approach
dc.subjectPetri net
dc.titleAdvanced Fault Tree Modeling
dc.typeResearch Article
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