| 摘要 |
A method of improving a data set associated with a system, the method comprising: providing a baseline data set for the system, wherein the baseline data set comprises a plurality of input and output data from the system; analyzing the baseline data set and selecting a baseline model for the baseline data set, wherein the baseline model comprises an baseline array of data relating to the input and output data from the system; normalizing the baseline data set associated with the system to create a normalized data set; analyzing the normalized data set and selecting an improved model for the normalized data set, wherein the improved model comprises an improved array of data relating to the input and output data from the system; performing a statistical comparison using the baseline data set and the normalized data set; calculating an at least one indicator value associated with the normalized and baseline data set based on the statistical comparison; determining a threshold value associated with the baseline data set and normalized data set based on the statistical comparison; and producing a new data set by eliminating any segments of the baseline data set where the at least one indicator value is greater than the threshold value.
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