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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F08%3A00018977%21RIV09-MSM-27240___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
An efficient simulation algorithm for the quantification of reliability performance indicators of a complex system is demonstrated in the paper that is based on Monte Carlo method. A directed Acyclic Graph is used as a useful system representation. A parallel simulation technique is used in the algorithm which is based on the construction of the special Course of Life sequence of transformed transition times subjected to the corresponding part of the Acyclic Graph. The parts of the Acyclic Graph represent individual subsystems of a given system and may be effectively evaluated, from the reliability point of view. The wide range of models for both deterministic and stochastic processes applied on the terminal nodes of the Acyclic Graph is allowed in the algorithm. The use of the algorithm for comparative theoretical calculations as well as for industrial applications is shown by a visual demonstration. A cost-optimization problem is shortly introduced which may be fully solved by the algorithm using ad V příspěvku je demonstrován efektivní algoritmus pro analýzu spolehlivosti a pohotovosti. Je založen na přímé simulační metodě Monte Carlo a pracuje v prostředí Matlab. Algoritmus vychází z konstrukce speciálních průběhových posloupností (COL) transformovaných přechodových časů, které jsou přiřazeny k částem acyklického grafu. Díky paralelní simulační technice lze tyto části grafu, reprezentující podsystémy, velmi efektivně vyhodnotit z hlediska spolehlivosti. Algoritmus umožňuje použít pět druhů vstupních prvků, v závislosti na režimech preventivní či korektivní údržby. Jsou prezentovány vstupní a výstupní charakteristiky, stejně jako výpočetní možnosti. Jako prostředek pro optimalizaci byly použity genetické algoritmy. An efficient simulation algorithm for the quantification of reliability performance indicators of a complex system is demonstrated in the paper that is based on Monte Carlo method. A directed Acyclic Graph is used as a useful system representation. A parallel simulation technique is used in the algorithm which is based on the construction of the special Course of Life sequence of transformed transition times subjected to the corresponding part of the Acyclic Graph. The parts of the Acyclic Graph represent individual subsystems of a given system and may be effectively evaluated, from the reliability point of view. The wide range of models for both deterministic and stochastic processes applied on the terminal nodes of the Acyclic Graph is allowed in the algorithm. The use of the algorithm for comparative theoretical calculations as well as for industrial applications is shown by a visual demonstration. A cost-optimization problem is shortly introduced which may be fully solved by the algorithm using ad
dcterms:title
Parallel simulation algorithm for maintenance optimization based on directed Acyclic Graph Parallel simulation algorithm for maintenance optimization based on directed Acyclic Graph Paralelni simulační algoritmus pro optimalizaci údržby založený na acyklickém orientovaném grafu.
skos:prefLabel
Paralelni simulační algoritmus pro optimalizaci údržby založený na acyklickém orientovaném grafu. Parallel simulation algorithm for maintenance optimization based on directed Acyclic Graph Parallel simulation algorithm for maintenance optimization based on directed Acyclic Graph
skos:notation
RIV/61989100:27240/08:00018977!RIV09-MSM-27240___
n3:aktivita
n7:Z
n3:aktivity
Z(MSM6198910007)
n3:cisloPeriodika
6
n3:dodaniDat
n10:2009
n3:domaciTvurceVysledku
n16:6396038
n3:druhVysledku
n9:J
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
385884
n3:idVysledku
RIV/61989100:27240/08:00018977
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Monte Carlo; reliability indicators; Acyclic Graph; cost-optimization problem
n3:klicoveSlovo
n4:cost-optimization%20problem n4:Monte%20Carlo n4:reliability%20indicators n4:Acyclic%20Graph
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[ED90E9D1773C]
n3:nazevZdroje
Reliability Engineering and System Safety
n3:obor
n18:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n10:2008
n3:svazekPeriodika
93
n3:tvurceVysledku
Briš, Radim
n3:zamer
n11:MSM6198910007
s:issn
0951-8320
s:numberOfPages
11
n17:organizacniJednotka
27240