Failure Propagation Modeling for Safety Analysis using Causal Bayesian Networks
2013 (English)In: 2013 2nd International Conference On Control And Fault-Tolerant Systems, IEEE , 2013, 91-97 p.Conference paper (Refereed)
The method Bayesian Networks (BN) has, in previous literature, been recognized as a powerful tool for safety analysis, with several advantages over traditional methods such as fault trees. The construction of BNs for safety analysis is however cumbersome; no easier than construction of fault trees. The paper therefore presents a systematic method for construction of BNs for safety analysis. It is recognized that a special kind of BNs is required, namely Causal BNs. The basic principle for constructing these Causal BNs is to utilize specifications of requirements, here viewed as services, and their relationships. The approach is especially attractive in the context of safety standards (e.g. ISO26262) where specification and traceability of requirements is already mandatory. The framework in the paper also provides a theoretical link between requirements engineering and the dependability theoretical definitions of fault and failure.
Place, publisher, year, edition, pages
IEEE , 2013. 91-97 p.
, Conference on Control and Fault-Tolerant Systems, ISSN 2162-1209
IdentifiersURN: urn:nbn:se:kth:diva-142898ISI: 000331082600015ScopusID: 2-s2.0-84897689631ISBN: 978-1-4799-2855-2OAI: oai:DiVA.org:kth-142898DiVA: diva2:705061
2nd International Conference on Control and Fault-Tolerant Systems (SysTol), OCT 09-11, 2013, Nice, France
QC 201403142014-03-142014-03-132014-03-14Bibliographically approved