1986
DOI: 10.2514/3.20109
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The hybrid automated reliability predictor

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Cited by 114 publications
(16 citation statements)
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“…There are currently no estimates of the parameters required, such as the transient restoration, permanent coverage, simple-point failure, and near-coincident fault [18].…”
Section: Availability Modelmentioning
confidence: 98%
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“…There are currently no estimates of the parameters required, such as the transient restoration, permanent coverage, simple-point failure, and near-coincident fault [18].…”
Section: Availability Modelmentioning
confidence: 98%
“…As an example, in the SURE [17] reUability program package of NASA, each transition related to a soft failure is described by the conditional mean and conditional standard deviation of the associated distribution, and the transition probability. The HARP package [18] allows the same modeling, as well as seven different ways of specifying fault-and error-handling behavior.…”
Section: Study Of Failure and Repair Datamentioning
confidence: 99%
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“…SAVE automatically generates the Markov chain from the modeling language description. Other modeling packages (e.g., HARP [6]) provide simple fault-tree (or reliabilityblock-diagram)-oriented languages to generate Markov chains, but typically only recovery-ba^d constructs are provided to model component interactions or dependencies.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome the problem of largeness, several techniques Therefore the need arises for decomposition approaches that work at model level rather than the matrix level. Examples of such techniques include the flow-equivalent server approximation introduced by Chandy et a1 [5], behavioral decomposition technique used in the software tool HARP [6], and the approach used by Balbo et a1 [7]. In these approaches, the overall model is not generated but instead smaller models are generated whose solution is combined to yield overall model solution.…”
Section: Introductionmentioning
confidence: 99%