Patent · US Active

Multivariate nonlinear autoregression for outlier detection

US11579588B2 · kind B2 · utility

0Cited by

1References

20Claims

0Family size

Assignee

SAP SE · DE

Inventors

Atreju Florian Tauschinsky · Walldorf, DE
Stefan Kain · Rauenberg, DE
Robert Meusel · Mannheim, DE

Key dates

Filing date	Jul 30, 2018
Grant date	Feb 14, 2023
Priority date	—
Expiry date	Dec 15, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG05B2219/32234
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and computer-readable storage media for receiving a time-series of data values associated with a plurality of sensors, each sensor generating at least a portion of the time-series of a respective data value, providing a plurality of auto-regression models, each auto-regression model being provided based on a respective first sub-set of the time-series of data values used as input, and a respective second sub-set of the time-series of data values used as training data during a training process, receiving respective data values associated with a time from and generated by each of the plurality of sensors, determining respective predicted values for each of the auto-regression models, and selectively indicating that an anomaly is present in the system based on respective predicted values for each of the auto-regression models, and the respective data values associated with a time.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.