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. 25, 2018

Filed:

Jan. 30, 2018
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Michael James Leonard, Cary, NC (US);

David Bruce Elsheimer, Clayton, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G05B 13/02 (2006.01); G06F 17/16 (2006.01); G05B 11/01 (2006.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05B 11/01 (2013.01); G05B 13/0265 (2013.01); G06F 17/16 (2013.01);
Abstract

Machines can be controlled using advanced control systems. Such control systems may use an automated version of singular spectrum analysis to control a machine. For example, a control system can perform singular spectrum analysis on a time series by: generating a trajectory matrix from the time series, performing singular value decomposition on the trajectory matrix to determine elementary matrices and corresponding eigenvalues, and automatically categorizing the elementary matrices into groups. The elementary matrices can be automatically categorized into the groups by: generating a matrix of w-correlation values based on the eigenvalues, categorizing the w-correlation values into a predefined number of w-correlation sets, and forming the groups based on the predefined number of w-correlation sets. The control system can then determine component time-series based on the groups, and generate a predictive forecast using the component time-series. The control system can use the predictive forecast to control operation of the machine.


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