2003
DOI: 10.1016/s0951-8320(03)00091-7
|View full text |Cite
|
Sign up to set email alerts
|

Sequential application of heterogeneous models for the safetyanalysis of a control system: a case study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0

Year Published

2006
2006
2020
2020

Publication Types

Select...
4
4
2

Relationship

0
10

Authors

Journals

citations
Cited by 31 publications
(15 citation statements)
references
References 3 publications
0
15
0
Order By: Relevance
“…condition Logical condition that leads to the failure. Used to express relationships among component failure states [1,2,13]. Fault DAMdomainModel::Threats occurrenceRate Number of faults per unit time [34,14,10].…”
Section: Dam Domain Modelmentioning
confidence: 99%
“…condition Logical condition that leads to the failure. Used to express relationships among component failure states [1,2,13]. Fault DAMdomainModel::Threats occurrenceRate Number of faults per unit time [34,14,10].…”
Section: Dam Domain Modelmentioning
confidence: 99%
“…The system reliability or availability is modelled according to the assumption of independence between the events affecting the entities (hypothesis (a), see chapter 7 in [21]). Whereas a classical model of the parallel structure shown in Fig.…”
Section: Fault Trees and Bayesian Network To Model Reliabilitymentioning
confidence: 99%
“…One extreme view is that only one method should be used to avoid comparability issues within a set of requirements derived by different methods; the authors recommend Enhanced Markov Analysis, a difficult and time consuming method, due to its great expressive power [4]. Other authors justify the need for several methods in order to adequately address human and organizational factors [5], to cope with situations when adequate failure data is not available [6] and to apply more work intensive methods only to the most critical parts of the system [7], [8]. A more rarely addressed criteria in the choice of risk assessment methods is the capability to identify system failures based on conceptual designs before costly design commitments are made; Kurtoglu and Tumer [9] propose the functional-failure identification and propagation (FFIP) framework for this purpose.…”
Section: Related Researchmentioning
confidence: 99%