2009 IEEE/IFIP International Conference on Dependable Systems &Amp; Networks 2009
DOI: 10.1109/dsn.2009.5270312
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Parametric NdRFT for the derivation of optimal repair strategies

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Cited by 3 publications
(3 citation statements)
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“…Conversion to Markov Decision Process allows optimal policies to be automatically derived from the FT when costs of unavailability, failures, and repairs are provided. A parametric version [171] of the formalism allows for more efficient modeling and analysis if the FT contains subtrees that differ only in the parameters of the BEs.…”
Section: Repairable Fault Treesmentioning
confidence: 99%
“…Conversion to Markov Decision Process allows optimal policies to be automatically derived from the FT when costs of unavailability, failures, and repairs are provided. A parametric version [171] of the formalism allows for more efficient modeling and analysis if the FT contains subtrees that differ only in the parameters of the BEs.…”
Section: Repairable Fault Treesmentioning
confidence: 99%
“…Recently, we have proposed the Parametric NdRFT (ParNdRFT) [33], an extension of the NdRFT that automatically exploits the presence of redundancy in the system to reduce the complexity of the model and of its analysis. It is based on the translation of the ParNdRFT into a MDWN, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…Conversion to Markov Decision Process allows optimal policies to be automatically derived from the FT when costs of unavailability, failures, and repairs are provided. A parametric version [BFCRH09] of the formalism allows for more efficient modeling and analysis if the FT contains subtrees that differ only in the parameters of the BEs.…”
Section: Repairable Fault Treesmentioning
confidence: 99%