Machine status monitoring system uses threshold based data zone allocation and neural network training based pattern classification

摘要

A machine (Maschine A, B, C) status monitoring system processes recorded (Erfassung A, B, C) status data to give characteristic values that are sorted into zones defined by threshold values for creation of patterns that are classified by neural networks using training generated representations of groups of reference patterns.