Siemens Aktiengesellschaft

Michael Greiner

Peter Liggesmeyer

Oliver Maeckel

Benedikte Elbel

Thomas Ackermann

David Meintrup

Veronika Dunkel

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.

Method for the computer-assisted evaluation of characteristic values of a technical system

A method and an arrangement are provided for predicting measurement data using given measurement data, in which a stochastic process is matched to the given measurement data. Simulation runs are carried out from a given time-point until a final time-point. The forecast measurement data is determined for each simulation run. Measurement data for the final time-point is predicted within a range of values, which is determined by the forecast measurement data.

Method and arrangement for predicting measurement data by means of given measurement

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Dachau, Germany

Michael Greiner