Sökning: onr:"swepub:oai:DiVA.org:mdh-47805" >
Evaluating the Haza...
Evaluating the Hazardous Failure Rate of majority voting computer architectures by means of Bayesian Network models
-
- Flammini, Francesco, Senior Lecturer, 1978- (författare)
- Ansaldo STS, Italy ; Università di Napoli Federico II, Italy
-
- Marrone, S. (författare)
- Ansaldo STS, Italy ; Seconda Università di Napoli, Italy
-
- Mazzocca, N. (författare)
- Università di Napoli Federico II, Italy
-
visa fler...
-
- Vittorini, V. (författare)
- Università di Napoli Federico II, Italy
-
visa färre...
-
(creator_code:org_t)
- 2007
- 2007
- Engelska.
-
Ingår i: Proceedings of the European Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety. - 0415447860 - 9780415447867 ; , s. 1715-1721
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- Safety-critical control systems are usually based on majority voters. In order to assess the compliance of these architectures with international safety standards, the probability of the occurrence of unsafe events should be evaluated by developing and analyzing proper formal models. In this paper we demonstrate that a Bayesian Network (BN) model can be used to evaluate the Mean Time Between Hazardous Events (MTBHE) of voting architectures. The proposed modeling approach is applied to a "2 out of 2" ("2002") voter consisting of independent computing units. The results obtained from the analysis of the BN model of the "2002" voter can be easily extended to evaluate the hazardous failure rate of more complex voting architectures (e.g. Triple Modular Redundant architectures, based on a 2003 voting). Within this context, BNs have several advantages over other traditional approaches (e.g. Petri Nets or Markov Chains): the model can be directly derived from the analysis of the flow-chart describing the dynamic of hazardous failures and its evaluation is much more efficient, as BN solving algorithms are non state-based; moreover, sensitivity analyses can be automatically performed by using the available user friendly BN tools . Finally, the proposed BN model is quite general and can be easily adapted and/or extended to suit specific computing architectures and fault models. © 2007 Taylor & Francis Group.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Nyckelord
- Architecture
- Bayesian networks
- Computer architecture
- Computer networks
- Computer science
- Computer systems
- Control systems
- Distributed parameter networks
- Failure analysis
- Graph theory
- Inference engines
- Intelligent networks
- Marine biology
- Markov processes
- Modal analysis
- Petri nets
- Regulatory compliance
- Reliability
- Sensitivity analysis
- Speech analysis
- Standardization
- Bayesian Network models
- Computing architectures
- Computing units
- Critical control systems
- Failure rates
- Fault models
- Formal models
- Hazardous events
- International safety standards
- Its evaluations
- Majority voters
- Majority voting
- Markov chains
- Modeling approaches
- Triple modular redundant
- User friendly
- Quality assurance
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas