US 12,457,151 B2
Multivariate and multi-timescale anomaly detection
Woei Ling Leow, Santa Clara, CA (US); Bill Byrd, San Francisco, CA (US); and Rajagopal Iyengar, Cedar Park, TX (US)
Assigned to Oracle International Corporation, Redwood Shores, CA (US)
Filed by Oracle International Corporation, Redwood Shores, CA (US)
Filed on Aug. 31, 2023, as Appl. No. 18/240,958.
Prior Publication US 2025/0080405 A1, Mar. 6, 2025
Int. Cl. H04L 41/0677 (2022.01); H04L 41/16 (2022.01); H04L 43/062 (2022.01)
CPC H04L 41/0677 (2013.01) [H04L 41/16 (2013.01); H04L 43/062 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An anomaly detection system comprising one or more modules configured to:
receive an observation signal from a first signal generator, the observation signal comprising a first unidimensional series of values;
receive a reference signal from a second signal generator, the reference signal comprising a second unidimensional series of values corresponding to the first unidimensional series of values;
combine the observation signal with the reference signal by transforming the first unidimensional series of values of the observation signal and the corresponding second unidimensional series of values of the reference signal into a multidimensional representation, the multidimensional representation comprising a multidimensional image;
identify a portion of the multidimensional image comprising a region indicative of one or more anomalies and excluding one or more regions that do not contain information indicating the presence of the one or more anomalies;
extract the portion of the multidimensional image;
convert the portion of the multidimensional image into a metric;
determine that the metric satisfies an anomaly detection criteria; and
generate an output indicating an anomaly in the observation signal from the signal generator.