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.

Patent No.:

US 11157782 B1

PDF
Full Text
Expired
Date of Patent:
Oct. 26, 2021

Filed:

Nov. 16, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Luis Angel D. Bathen, Placentia, CA (US);

Simon-Pierre Genot, San Jose, CA (US);

Mu Qiao, Belmont, CA (US);

Ramani R. Routray, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06F 17/15 (2006.01); G06N 3/04 (2006.01); G06F 17/17 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6284 (2013.01); G06F 17/153 (2013.01); G06N 3/0454 (2013.01); G06N 3/088 (2013.01); G06F 17/175 (2013.01); G06K 9/00536 (2013.01); G06K 9/6281 (2013.01);
Abstract

A method, computer system, and computer program product to detect anomalies in a multivariate or multidimensional time series data set. The time series data set is retrieved from a monitored device. A pair of neural networks are trained simultaneously using the retrieved time series data set by implementing an adversarial training process, to generate a generative neural network and a discriminative neural network. The anomalies in the time series data set of the monitored device are detected by implementing one or both of the generative neural network and the discriminative neural network to monitor the time series data set.


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