Diagnosis of abnormal operation modes of a machine utilizing...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C706S045000, C706S015000, C706S019000

Reexamination Certificate

active

07743005

ABSTRACT:
A method and apparatus that detects a multiplicity of normal data sets, each of which includes values of n parameters, for each of the operation modes of an object having a plurality of operation modes. Self-organizing maps are provided for each operation mode using the normal data sets. Abnormal data sets representing virtual abnormal states are created by modifying the values of the n parameters of each of the multiple normal data sets so that as many abnormal data sets as the number of deviation vectors are created for each of the multiple normal data sets. Abnormal operation mode proportion vectors are then created by selecting a self-organizing map from the above noted self-organizing maps which has the highest similarity degree to each of the abnormal data sets.

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