Patent ID: 8892478

Claim:
A computer-implemented adaptive model training method, said method comprising the steps of: providing a set of selectively chosen good data values acquired from operation of an asset wherein the provided set of selectively chosen good data values acquired from operation of the asset are selectively chosen based on at least one predefined criterion of good data quality; separating the provided set of selectively chosen good data values acquired from operation of the asset based on at least one predefined criterion for assigning each provided selectively chosen good data value to at least one group of separated selectively chosen good data values; selecting representative selectively chosen good data values from each of the at least one group of separated selectively chosen good data values based on at least one predefined criterion for sampling at least one representative selectively chosen good data value from each of the at least one group of separated selectively chosen good data values; forming a reduced set of data values by combining the selected representative selectively chosen good values from each of the at least one group of separated selectively chosen good data values; and storing the reduced set of data values for defining a learned scope of operation of the asset.