2010
DOI: 10.1007/978-1-84882-213-9_12
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Simulation of Maintained Multicomponent Systems for Dependability Assessment

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Cited by 7 publications
(4 citation statements)
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“…The CE technique can only be applied when the service time of the customer in process follows an exponential distribution (see Section 6.2 for more details); (4) we want to estimate the expected time to failure of a complex system that consists of several dependent components with various degradation mechanisms. The application of CE seems possible only when the component degradation is not observed or not evident in some system scenarios (Zille, Bérenguer, Grall, & Despujols, ).…”
Section: Overview Of the Proposed Fully Sequential Proceduresmentioning
confidence: 99%
“…The CE technique can only be applied when the service time of the customer in process follows an exponential distribution (see Section 6.2 for more details); (4) we want to estimate the expected time to failure of a complex system that consists of several dependent components with various degradation mechanisms. The application of CE seems possible only when the component degradation is not observed or not evident in some system scenarios (Zille, Bérenguer, Grall, & Despujols, ).…”
Section: Overview Of the Proposed Fully Sequential Proceduresmentioning
confidence: 99%
“…Additionally, the analysis of large systems/processes using Markov approaches results in cumbersome and error-prone models. However, PN models have been found to be able to model complex systems/processes with dynamic characteristics without suffering the state-space explosion as happens in Markov models [1].…”
Section: Introductionmentioning
confidence: 99%
“…However, alternative simulation approaches have been developed, such as the encoding of the statespace model in a Petri Net (PN) that can cope with all the aforementioned limitations (Zille et al 2010). PN models are powerful, flexible structures that can be applied to complex cases without suffering the state-space explosion limitation.…”
Section: Introductionmentioning
confidence: 99%