System Reliability Evaluation Using Monte Carlo & Support Vector Machine
نویسندگان
چکیده
Reliability evaluation of real engineering systems is often performed using simulation tools. In general, to determine the state of the system (operating or failed) as a function of its components, it is necessary to evaluate a function that is called System Function or Structure Function (SF). In a Monte Carlo simulation system reliability is evaluated by generating at random several systems states and evaluating the SF. Since a large number of SF evaluations are required, it could be necessary to substitute those evaluations with a fast, approximated algorithm.
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