Fault prediction method based on ARMret model considering rare variables
A rare technology for fault prediction, applied in prediction, calculation, complex mathematical operations, etc., to achieve the effect of improving prediction performance, improving prediction effect, and strengthening coping ability
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[0085]Example 1:
[0086]Construction of ARMRET predictive model
[0087]Preproreating data
[0088]Considering that the external environment of the transmission line system involves a variety of different environmental characteristics, the original input data is integrated to complete the excavation of the input environment, and summarize to the unified data processing space.
[0089]Since this time the time has periodic repeatability, the present invention divides the input data and minuses according to the year to verify the effect of the forecast. Therefore, in the present invention, set Dy∈D = {D1, D2, ..., Dz} On behalf of the input database D, the data in the year, that is, the fault that occurs within one year.
[0090]In dyMedium, set f = {f1, f2, ..., fj, ..., fn, fY} Is a collection containing all environmental characteristics, fjEnvironmental characteristic variable, fYFor the corresponding target feature variable. Each environment feature fjBoth a set of environmental elements Ej,1, E...
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