Apparatus for monitoring system condition

Data processing: artificial intelligence – Machine learning

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39518401, G06F 1518, G05B 1302

Patent

active

058901426

ABSTRACT:
A monitoring apparatus for monitoring an operating condition of a system includes a predicting section which generates a data vector whose parameter is determined by a timeseries data of the system and which obtains a prediction value of the timeseries data of a predetermined time future by means of the chaotic inference based on a behavior of attractor which is generated in a reconstruction space by an embedding operation of the data vector. A monitoring section compares the detected value and the prediction value of the timeseries data and decides the condition of the observed system according to the compared result. Therefore, it becomes possible to appropriately and quickly judge as to whether the observed system is in an abnormal condition or not.

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G. Morgavi, et al., "Chaotic Signals: Attractor Reconstruction and Local Prediction," Proc. 34th Midwest Symposium on Circuits and Systems, vol. 1, pp. 48-51, May 1991.

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