2015
DOI: 10.1016/j.ress.2014.08.004
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Discrete and continuous reliability models for systems with identically distributed correlated components

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Cited by 35 publications
(23 citation statements)
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“…For example, an n component parallel system with correlated but identically distributed Weibull components m = e A parallel system model may be suitable in cases where computations are replicated across multiple processors to achieve fault tolerance between checkpoints. While the illustrations that follow are presented in the context of a two-component parallel system with correlated but identically distributed Weibull components, we note that the general method 31 is applicable to systems and workflows possessing any structure function represented by a reliability block diagram or fault tree.…”
Section: Correlated Identical Componentsmentioning
confidence: 99%
“…For example, an n component parallel system with correlated but identically distributed Weibull components m = e A parallel system model may be suitable in cases where computations are replicated across multiple processors to achieve fault tolerance between checkpoints. While the illustrations that follow are presented in the context of a two-component parallel system with correlated but identically distributed Weibull components, we note that the general method 31 is applicable to systems and workflows possessing any structure function represented by a reliability block diagram or fault tree.…”
Section: Correlated Identical Componentsmentioning
confidence: 99%
“…However, this numerical technique requires the solution of an exponential number (2^N c ) N c -variate integrals because an analytical solution to the multivariate normal distribution does not exist. Thus, the numerical approach is limited to small systems such as the widely used two-out-of-three system [11], where a majority of the components must be reliable for the system to be reliable. Due to these limitations of the numerical generalization, the simulation approach is employed to evaluate the reliability of TCFN.…”
Section: Encoding Correlated Failuresmentioning
confidence: 99%
“…Thus how to describe the dependency among components in a system has been an interesting topic. Various types of dependence, such as Markov dependence [6][7][8], redundant dependence, [9,10], common cause failure [11][12][13], sequencedependent failures (Xing et al [14]), propagated failures with global or selective effect [15,16], correlated failures [17], economic dependence (Zhou et al [18]), and historydependence (Wang and Cui [19]), have been considered.…”
Section: Introductionmentioning
confidence: 99%