The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 02, 2019

Filed:

Aug. 18, 2017
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Tan Yan, Skillman, NJ (US);

Dongjin Song, Princeton, NJ (US);

Haifeng Chen, West Windsor, NJ (US);

Guofei Jiang, Princeton, NJ (US);

Tingyang Xu, Willimantic, CT (US);

Assignee:

NEC Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 7/08 (2006.01); G05B 17/02 (2006.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G06F 17/14 (2006.01); H02J 13/00 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
H02J 13/0006 (2013.01); G05B 17/02 (2013.01); G06F 17/142 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06K 9/00563 (2013.01); G06K 9/6244 (2013.01); G06K 9/6267 (2013.01); G06N 7/08 (2013.01);
Abstract

A power generator system with anomaly detection and methods for detecting anomalies include a power generator that includes one or more physical components configured to provide electrical power. Sensors are configured to make measurements of a state of respective physical components, outputting respective time series of said measurements. A monitoring system includes a fitting module configured to determine a predictive model for each pair of a set of time series, an anomaly detection module configured to compare new values of each pair of time series to values predicted by the respective predictive model to determine if the respective predictive model is broken and to determine a number of broken predictive model, and an alert module configured to generate an anomaly alert if the number of broken predictive models exceeds a threshold.


Find Patent Forward Citations

Loading…