Michael R Cantrell

US Patent:

20200117177, Apr 16, 2020

Filed:

Oct 15, 2018

Appl. No.:

16/161003

Inventors:

- Chicago IL, US
Michael Cantrell - Chicago IL, US

International Classification:

G05B 23/02
G05B 17/02
G06K 9/62
H04L 29/08

Abstract:

A computing system may create an anomaly detection model to detect anomalies in multivariate data originating from a given data source by extracting a model object for the anomaly detection model using a first set of training data originating from the given data source, establishing starting values of a set of anomaly thresholds for the anomaly detection model using the extracted model object and a second set of training data originating from the given data source, and refining the starting values of the set of anomaly thresholds for at least a subset of the variables included in the multivariate data using the extracted model object and a set of test data. In turn, the computing system may use the anomaly detection model to monitor for anomalies in observation data originating from the given data source.

Address:

9021 Semillon St, Las Vegas, NV 89148

VIN:

2GCFK13Y971553997

Make:

CHEVROLET

Model:

SILVERADO 1500

Year:

2007