FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306174013> ?p ?o ?g. }

• W4306174013 endingPage "108873" @default.
• W4306174013 startingPage "108873" @default.
• W4306174013 abstract "Fault tree analysis remains a significant alternative for modeling and analyzing reliability and failure modes. Traditionally, the probabilities of the basic events are assumed as point estimates from which the fault tree is used to estimate the probability of the top failure event. This paper instead proposes using this framework for a different purpose: framing the model parameters describing the basic events as random variables, which collectively contribute to the statistics of the estimate of the top failure event. An approach for uncertainty propagation via statistical moments is developed for both static and dynamic gates with specific consideration of the effects of the dependency conditions for different distribution types. Assuming there is a cost to acquire model parameters with reduced uncertainty, this framing can thus be used to identify the best set of model parameters possible within a constrained budget to minimize uncertainty in the resulting estimate of the top failure event. With these models in place, the statistical moments of the top event can be connected to all lower levels, and the statistics in the estimate of the top event can be optimized with a given cost constraint (e.g. allocating resources to reducing uncertainty in the knowledge of basic events to minimize variance in the estimate of the top failure event). This optimization of the uncertainty in the top event is demonstrated with a case study." @default.
• W4306174013 created "2022-10-14" @default.
• W4306174013 creator A5004539164 @default.
• W4306174013 creator A5009660641 @default.
• W4306174013 creator A5045253780 @default.
• W4306174013 date "2023-02-01" @default.
• W4306174013 modified "2023-09-27" @default.
• W4306174013 title "Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees" @default.
• W4306174013 cites W1125838820 @default.
• W4306174013 cites W1965134689 @default.
• W4306174013 cites W1966479973 @default.
• W4306174013 cites W1976397943 @default.
• W4306174013 cites W1981516677 @default.
• W4306174013 cites W1984282670 @default.
• W4306174013 cites W1991229260 @default.
• W4306174013 cites W1991628919 @default.
• W4306174013 cites W2001271054 @default.
• W4306174013 cites W2001511471 @default.
• W4306174013 cites W2003109266 @default.
• W4306174013 cites W2008202990 @default.
• W4306174013 cites W2009942763 @default.
• W4306174013 cites W2011422372 @default.
• W4306174013 cites W2013471117 @default.
• W4306174013 cites W2027480762 @default.
• W4306174013 cites W2027609036 @default.
• W4306174013 cites W2033100485 @default.
• W4306174013 cites W2039155749 @default.
• W4306174013 cites W2041349827 @default.
• W4306174013 cites W2042206224 @default.
• W4306174013 cites W2042996941 @default.
• W4306174013 cites W2043603066 @default.
• W4306174013 cites W2043711423 @default.
• W4306174013 cites W2047374423 @default.
• W4306174013 cites W2047586057 @default.
• W4306174013 cites W2052939879 @default.
• W4306174013 cites W2056204263 @default.
• W4306174013 cites W2058130292 @default.
• W4306174013 cites W2064068307 @default.
• W4306174013 cites W2065051476 @default.
• W4306174013 cites W2067911267 @default.
• W4306174013 cites W2071520292 @default.
• W4306174013 cites W2074897389 @default.
• W4306174013 cites W2075689173 @default.
• W4306174013 cites W2079491515 @default.
• W4306174013 cites W2080143169 @default.
• W4306174013 cites W2083843789 @default.
• W4306174013 cites W2084522115 @default.
• W4306174013 cites W2093095043 @default.
• W4306174013 cites W2096283629 @default.
• W4306174013 cites W2097661462 @default.
• W4306174013 cites W2098233855 @default.
• W4306174013 cites W2111354300 @default.
• W4306174013 cites W2111540344 @default.
• W4306174013 cites W2116254707 @default.
• W4306174013 cites W2121337044 @default.
• W4306174013 cites W2135209232 @default.
• W4306174013 cites W2148606018 @default.
• W4306174013 cites W2154884120 @default.
• W4306174013 cites W2163961586 @default.
• W4306174013 cites W2165046421 @default.
• W4306174013 cites W2165273843 @default.
• W4306174013 cites W2165746913 @default.
• W4306174013 cites W2166255034 @default.
• W4306174013 cites W2167099115 @default.
• W4306174013 cites W2169745782 @default.
• W4306174013 cites W2171944965 @default.
• W4306174013 cites W2347040840 @default.
• W4306174013 cites W2417863416 @default.
• W4306174013 cites W2558784741 @default.
• W4306174013 cites W261935476 @default.
• W4306174013 cites W2673044351 @default.
• W4306174013 cites W2803134467 @default.
• W4306174013 cites W2842089854 @default.
• W4306174013 cites W2912782610 @default.
• W4306174013 cites W3007423225 @default.
• W4306174013 cites W3008489509 @default.
• W4306174013 cites W3035500904 @default.
• W4306174013 cites W3047114700 @default.
• W4306174013 cites W3073900494 @default.
• W4306174013 cites W3114274294 @default.
• W4306174013 cites W3114336158 @default.
• W4306174013 cites W3121697135 @default.
• W4306174013 cites W3127386095 @default.
• W4306174013 cites W3130593640 @default.
• W4306174013 cites W3157719669 @default.
• W4306174013 cites W3177558064 @default.
• W4306174013 cites W3201648035 @default.
• W4306174013 cites W4206278790 @default.
• W4306174013 cites W4225005526 @default.
• W4306174013 cites W76960838 @default.
• W4306174013 doi "https://doi.org/10.1016/j.ress.2022.108873" @default.
• W4306174013 hasPublicationYear "2023" @default.
• W4306174013 type Work @default.
• W4306174013 citedByCount "2" @default.
• W4306174013 countsByYear W43061740132023 @default.
• W4306174013 crossrefType "journal-article" @default.
• W4306174013 hasAuthorship W4306174013A5004539164 @default.
• W4306174013 hasAuthorship W4306174013A5009660641 @default.

• next