Patent ID: 7739096
Filing Date: 2010-06-15
Classification: G05B,G09B

Abstract:
1. A method of monitoring a system instrumented with sensors by selecting input vectors for extraction of representative data for training of an adaptive model, the input vectors being organized along an independent (‘x’) dimension to enable selection of vectors along a dependent (‘y’) dimension, the method comprising: receiving signals automatically as input to a computer and as a set of training vectors, said signals being derived from a plurality of the sensors and representing physical parameters of the monitored system; automatically ordering the set of training vectors according to a corresponding value in each vector of a particular sensor and assigning each training vector a sequence number according to the ordering to form the ‘x’ dimension of the data with the sequence numbers; automatically dividing the set of training vectors according to equally spaced ranges selected across the magnitude of the data, the magnitude forming the ‘y’ dimension of the data; automatically selecting at least one vector from each of the equally spaced ranges while selecting less than all of the training vectors of the equally spaced ranges for training the adaptive model; and automatically training the adaptive model with only the vectors selected in the selecting step and with training calculations that use sensor reading values from the signals that form the vectors.