2016
DOI: 10.1002/qre.2012
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Negating a Generalized Cut Sequence: Bridging the Gap Between Dynamic Fault Trees Quantification and Sum of Disjoint Products Methods

Abstract: Dynamic fault trees (DFTs) are powerful tools to model industrial systems having dynamic failure mechanisms, such as sequence‐ and function‐dependent failure behaviors. Yet for large and complex DFTs, their quantitative analyses are still of great challenges. Up to now, many researchers have presented several approaches to deal with this problem, and among which, the sum of disjoint products (SDP) methods, such as dynamic binary decision tree, sequential binary decision diagram (SBDD), and improved SBDD, have … Show more

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Cited by 6 publications
(3 citation statements)
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References 54 publications
(104 reference statements)
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“…Coarse formulas for negating general SEs were first proposed. 43 When basic events in SEs are all normal, that is, the system does not contain any spare components (i.e. cold and warm spares), the coarse formulas are correct and can be easily implemented.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Coarse formulas for negating general SEs were first proposed. 43 When basic events in SEs are all normal, that is, the system does not contain any spare components (i.e. cold and warm spares), the coarse formulas are correct and can be easily implemented.…”
Section: Related Workmentioning
confidence: 99%
“…Analyzing methods for a DFT. 43 (: e 2 ) + (: e 3 ) + e 1 !e 3 !e 2 + e 2 !e 3 !e 1 + e 2 !e 1 !e 3 + e 3 !e 2 !e 1 + e 3 !e 1 !e 2 , where '':'' is a negation operator. If an SE is placed at a higher level of SBDD, it means that more chances of SE should be involved in operation with other SEs.…”
Section: Formulas Of Negating a Generalized Cut Sequencementioning
confidence: 99%
“…The method was appropriate for both reparable and nonreparable systems. In 2017 the research work of [50] has been extended and published in [57]. The research has covered spare and sequence gates through De Morgan theorem, and for negating a generalized cut sequences, they have improved explicit formula.…”
Section: Literature On Ctmc Based Reliability Solutions Of Dftsmentioning
confidence: 99%