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:
Sep. 03, 2019

Filed:

Nov. 22, 2016
Applicant:

Siemens Aktiengesellschaft, München, DE;

Inventors:

Denis Krompaß, München, DE;

Andreas Litzinger, Fürth, DE;

Sebnem Rusitschka, Munich, DE;

Volker Tresp, München, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 11/00 (2006.01); G05B 19/048 (2006.01); G06N 20/00 (2019.01); G06Q 10/06 (2012.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
G05B 19/048 (2013.01); G06N 20/00 (2019.01); G06Q 10/06 (2013.01); G06Q 50/06 (2013.01); G05B 2219/2639 (2013.01);
Abstract

A method and apparatus for automatic recognition of similarities between perturbations in a network, the apparatus includes a memory unit for storing a first data array of multiple perturbation data snapshots each recorded in response to a perturbation observed in the network; a generation unit adapted to generate by machine learning a data model of perturbations trained on the first data array, wherein the trained data model provides a latent vector representation for each of the perturbations; a recording unit adapted to record a perturbation data snapshot if a perturbation is observed during operation of said network and adapted to provide a corresponding second data array for the recorded perturbation data snapshot; and a processing unit adapted to derive a latent vector representation for the observed perturbation from the second data array using the trained data model of perturbations.


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