Detailed Information on Publication Record
2016
Effective static and dynamic fault tree analysis.
BÄCKSTRÖM, Ola, Yuliya BUTKOVA, Holger HERMANNS, Jan KRČÁL, Pavel KRČÁL et. al.Basic information
Original name
Effective static and dynamic fault tree analysis.
Authors
BÄCKSTRÖM, Ola (752 Sweden), Yuliya BUTKOVA (860 Uzbekistan), Holger HERMANNS (276 Germany), Jan KRČÁL (203 Czech Republic, guarantor, belonging to the institution) and Pavel KRČÁL (203 Czech Republic)
Edition
Berlin, In International Conference on Computer Safety, Reliability, and Security, p. 266-280, 15 pp. 2016
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/16:00088815
Organization unit
Faculty of Informatics
ISBN
978-3-319-45476-4
ISSN
Keywords in English
static and dynamic fault trees; PSA; nuclear safety; interactive Markov chains; open IMC
Změněno: 27/4/2017 07:17, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Fault trees constitute one of the essential formalisms for static safety analysis of various industrial systems. Dynamic fault trees (DFT) enrich the formalism by support for time-dependent behaviour, e.g., repairs or dynamic dependencies. This enables more realistic and more precise modelling, and can thereby avoid overly pessimistic analysis results. But analysis of DFT is so far limited to substantially smaller models than those required for instance in the domain of nuclear power safety. This paper considers so called SD fault trees, where the user is free to express each equipment failure either statically, without modelling temporal information, or dynamically, allowing repairs and other timed interdependencies. We introduce an analysis algorithm for an important subclass of SD fault trees. The algorithm employs automatic abstraction techniques effectively, and thereby scales similarly to static analysis algorithms, albeit allowing for a more realistic modelling and analysis. We demonstrate the applicability of the method by an experimental evaluation on fault trees of nuclear power plants.
Links
GBP202/12/G061, research and development project |
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