Patent ID: 11900223
Assignee: WESTINGHOUSE ELECTRIC COMPANY LLC
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 13:
14. The method of claim 13, further comprising:
subjecting as the at least representation of the at least a subset of the one or more series of first learning signals and the series of second learning signals to the first machine learning algorithm a subset of each of the one or more series of first learning signals and a subset of the series of second learning signals to the first machine learning algorithm;
inputting to the first model a portion other than the subset of each of the one or more series of first learning signals to obtain from the first model a series of predicted second learning signals;
comparing the series of predicted second learning signals with a portion other than the subset of the series of second learning signals to obtain for the first model a corresponding error value;
subjecting as the at least representation of the at least a subset of the one or more series of first learning signals and the series of second learning signals to the second machine learning algorithm the subset of each of the one or more series of first learning signals and the subset of the series of second learning signals to the second machine learning algorithm;
inputting to the second model the portion other than the subset of each of the one or more series of first learning signals to obtain from the second model another series of predicted second learning signals;
comparing the another series of predicted second learning signals with the portion other than the subset of the series of second learning signals to obtain for the second model a corresponding error value; and
selecting as the one of the first model and the second model whichever of the first model and the second model has a relatively lower corresponding error value.