Method for the computer-supported generation of prognoses for operative systems and a system for the generation of prognoses for operative systems
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Abstract
The invention relates to a method for the computer-supported generation of prognoses for operative systems (37), in particular for control processes and similar, based on multi-dimensional data sets describing a system, product and/or process condition, using the SOM method in which an ordered grid of nodes (1), representing the data distribution is determined and an internal scaling (σj) of variables (xj) with regard to non-linearity in the data, based on the non-linear influence of each variable on the prognosis variable, is carried out. Local receptive regions corresponding to the nodes (1) are determined, on the basis of which local linear regressions are calculated. Using the number of local prognosis models obtained thus, optimized prognosis values for the control of the operative system (37) are calculated, whereby for each new data set the relevant sufficient nodes are determined and the local prognosis model applied to this data set.
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Citations
25 Claims
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1-11. -11. (canceled)
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12. A computerized method for generating prognoses for operative systems on a basis of multidimensional data records describing a state of a system, product and/or process, by utilizing the self-organizing maps method, which comprises:
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determining an ordered grid of nodes representing a data distribution;
for taking into account nonlinearities in the data, effecting an internal scaling of variables based on a nonlinear influence of each variable on a prediction variable;
determining local receptive regions assigned to the nodes and calculating local linear regressions on a basis of the local receptive regions;
calculating optimized prediction values for controlling the operative system with the aid of a set of local prediction models thus obtained, by determining a respectively adequate node for each new data record and applying a local prediction model to the data record. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A system for generating prognoses for operative systems on a basis of multidimensional data records describing a state of a system, product and/or process, comprising:
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a database for storing the data records;
a self-organizing maps (SOM) unit for determining an ordered grid of nodes representing a data distribution;
a nonlinearity feedback unit associated with said SOM unit and configured for internal scaling of variables in order to compensate a nonlinear influence thereof on a prediction variable;
a calculation unit associated with said SOM unit and configured for determining local linear regressions on a basis of local receptive regions assigned to the nodes; and
a prediction unit configured to use local prediction models thus obtained as a basis for calculating optimized prognosis values by determining a respectively adequate node for each new data record and to apply the local prediction model to the respective data record. - View Dependent Claims (23, 24, 25)
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Specification