Data processing: artificial intelligence – Miscellaneous
Reexamination Certificate
2005-05-04
2009-12-08
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Miscellaneous
C706S012000, C706S014000, C706S045000, C706S060000, C702S001000, C702S059000, C702S108000, C702S127000, C717S104000, C717S124000, C717S157000
Reexamination Certificate
active
07630952
ABSTRACT:
During a total temporal interval a plurality of characteristic values of the technical system are determined. The total temporal interval is divided into a plurality of partial intervals, each partial interval being between a partial interval starting point and a partial interval end point in the total interval. According to said method, for each partial interval, at least one parameter of a pre-determined predictive model is adapted to the characteristic values determined in the partial interval in such a way as to obtain a partial adaptation with which a partial interval and the end point of the partial interval are associated. Respectively one modification measure is determined for the partial adaptations in such a way as to indicate the modifications of the parameters of the respective partial adaptation in relation to the parameters of at least one adjacent partial adaptation. The interval between the partial interval end point of a respective partial adaptation and the partial interval end point of the at least one adjacent partial adaptation is marked as an inhomogeneous interval, if the modification measure is higher than a predetermined value.
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Dunkel Veronika
Elbel Benedikte
Greiner Michael
Meintrup David
Fernandez Rivas Omar F
Siemens Aktiengesellschaft
Staas & Halsey , LLP
Vincent David R
LandOfFree
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