Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/72709
Título: An intrinsic order criterion to evaluate, large, complex fault trees
Autores/as: González, L. 
García, D. 
Galván, B. 
Clasificación UNESCO: 110202 Algebra de Boole
Palabras clave: Probabilities
Fault tree evaluation
Intrinsic order
(Non) coherent fault tree
Probability bounds
Fecha de publicación: 2004
Publicación seriada: IEEE Transactions on Reliability 
Resumen: A new efficient algorithm is introduced to evaluate (non) coherent fault trees, obtaining exact lower & upper bounds on system unavailability, with a prespecified maximum error. The algorithm is based on the canonical normal form of the Boolean function, but overcomes the large number of terms needed, by using an intrinsic order criterion (IOC) to select the elementary states to evaluate. This intrinsic order implies lexicographic (truth table) order. The criterion guarantees a priori that the probability of a given elementary system state is always greater than or equal to the probability of another state, for any set of basic probabilities. IOC is exclusively based on the positions of 0 & 1 in the binary n-tuples defining the elementary states. The algorithm does not require any qualitative analysis of the fault tree. The computational cost mainly depends on the basic event probabilities, and is related to system complexity, only because the Boolean function must be evaluated.
URI: http://hdl.handle.net/10553/72709
ISSN: 0018-9529
DOI: 10.1109/TR.2004.833307
Fuente: IEEE Transactions On Reliability [ISSN 0018-9529], v. 53 (3), p. 297-305, (Septiembre 2004)
Colección:Artículos
Vista completa

Citas SCOPUSTM   

19
actualizado el 24-mar-2024

Citas de WEB OF SCIENCETM
Citations

9
actualizado el 25-feb-2024

Visitas

51
actualizado el 20-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.