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• W2009012258 abstract "Most of the reliability theory and applications are in the planning domain. When reliability concepts are applied in operations or operational planning, computational burden of the algorithms becomes a bottleneck as the speed of execution of algorithms becomes critical. This paper presents an efficient control variable based dagger sampling technique for reducing the computational effort in Monte-Carlo reliability evaluation for composite systems. The proposed variance reduction method is unique in combining the offline calculations with online computation. A large number of system states are simulated to calculate their consequences offline and stored. Short-term reliability sampling uses the information on offline computed consequences to construct a variance reduction function. In short-term reliability evaluation, the outage probability of each component is much smaller compared to long-term system reliability calculations. Dagger sampling is used to reduce the computation time under this condition. Test results on RTS show the improvement and effectiveness in convergence speed." @default.
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• W2009012258 date "2010-06-01" @default.
• W2009012258 modified "2023-09-26" @default.
• W2009012258 title "Short-term reliability evaluation using control variable based dagger sampling method" @default.
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• W2009012258 doi "https://doi.org/10.1016/j.epsr.2009.10.037" @default.
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