MULTI-DIMENSION VARIABLE PREDICTIVE MODELING FOR ANALYSIS ACCELERATION

摘要

In one example, a method for evaluating a system includes obtaining a model of the system that defines a boundary between at least one failure region and a non-failure region for a performance indicator with respect to at least one variable of the system. In one embodiment, obtaining the model involves constructing a new model; however, in other embodiments, obtaining the model involves accepting or retrieving a pre-constructed model is input. The method further includes obtaining importance samples for the at least one variable that are biased to the at least one failure region, and calculating indicator values for the performance indicator by applying the importance samples to the model.

主权项

1. A method for evaluating a system, the method comprising:
obtaining a model of the system that defines a boundary between at least one failure region and a non-failure region for a performance indicator with respect to at least one variable of the system; obtaining importance samples for the at least one variable, wherein the importance samples are biased to the at least one failure region; and calculating indicator values for the performance indicator of the system by applying the importance samples to the model of the system; wherein at least one of: the obtaining the model, the obtaining the importance samples, or the calculating is performed by a processor.