Patent ID: 7006866

Claim:
An arrangement for predicting an abnormality of a dynamic system and for implementing an action opposing the abnormality using a continuous information flow that describes a development of a predictability of several future system states, comprising: a) a measured data pick-up that registers comparison measured data of said system and test measured data of said system; b) a processor unit, having a neural network that models said system, said processor unit (1) training said neural network using said comparison measured data; (2) determining a comparison information flow that describes a comparison dynamic of said system using said trained neural network; (3) determining a test information flow that describes a test dynamic of said system using said test measured data; (4) using said comparison information flow and said test information flow, predicting said abnormality as established when said comparison information flow differs significantly from said test information flow, and predicting said abnormality as not established when said comparison information flow does not significantly differ from said test information flow; (5) when said abnormality of the system has been predicted as established, then implementing said action; and c) an actuator that implements said action, wherein the information flow describes a development of a predictability of plural future system states.