公开(公告)号：US20230075065A1

公开(公告)日：2023-03-09

申请号：US17463742

申请日：2021-09-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ikenna D. IVENSO ,  Matthew T. GERDES ,  Kenny C. GROSS ,  Guang C. WANG ,  Hariharan BALASUBRAMANIAN

IPC: G06N20/00

Abstract: Systems, methods, and other embodiments associated with passive inferencing of signal following in multivariate anomaly detection are described. In one embodiment, a method for inferencing signal following in a machine learning (ML) model includes calculating an average standard deviation of measured values of time series signals in a set of time series signals; training the ML model to predict values of the signals; predicting values of each of the signals with the trained ML model; generating a time series set of residuals between the predicted values and the measured values; calculating an average standard deviation of the sets of residuals; determining that signal following is present in the trained ML model where a ratio of the average standard deviation of measured values to the average standard deviation of the sets of residuals exceeds a threshold; and presenting an alert indicating the presence of signal following in the trained ML model.