Patent ID: 11860974
Assignee: ORACLE INTERNATIONAL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 15:
16. A system that trains an inferential model based on selected training vectors, comprising:
at least one processor and at least one associated memory; and
a training mechanism that executes on the at least one processor, wherein during operation, the training mechanism trains an inferential model based on selected training vectors, wherein during the training process, the training mechanism:
receives training data comprising observations for a set of time-series signals gathered from sensors in a monitored system during normal fault-free operation;
divides the observations into N subgroups comprising non-overlapping time windows of observations;
selects observations with a local minimum value and a local maximum value for all signals from each subgroup to be training vectors for the inferential model by:
dividing each subgroup into a training set and a validation set by sequencing through consecutive even/odd pairs of observations in the subgroup and assigning one observation in each pair to the training set and another observation in each pair to the validation set;
swapping members of pairs of observations between the training set and the validation set as necessary to ensure that the local minimum value and the local maximum value for each subgroup fall into the training set; and
selecting a user-specified number of observations with the local minimum value and the local maximum value from the training set to be the training vectors for the inferential model; and

trains the inferential model using the selected training vectors.