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. 13, 2022

Filed:

Jun. 27, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventor:

Abhay Harpale, San Ramon, CA (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/10 (2019.01); G06N 20/00 (2019.01); G06N 7/08 (2006.01); G16H 50/20 (2018.01); G16H 50/00 (2018.01); G05B 23/02 (2006.01); G16H 50/50 (2018.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G05B 23/0283 (2013.01); G06N 7/08 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G16H 50/00 (2018.01); G16H 50/50 (2018.01); A61B 5/0022 (2013.01); A61B 5/02055 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01);
Abstract

A method of detecting status changes, and a corresponding point-in-time, in monitored entities, includes receiving one or more elements of time-series data from one or more sensors, the elements of time-series data representing an operational state of the monitored entity, creating a predictive model from the time-series data in a datastore memory, applying a transduction classifier to the predictive model, the transduction classifier detecting a change from healthy to unhealthy in the time-series data, and the corresponding point-in-time when the change occurred, and providing an identification of the change in the time-series data and the corresponding point-in-time. In some embodiments the transduction classifier can be a maximum margin classifier having a support vector machine component and a temporal transductive component. A system and a non-transitory computer readable medium are also disclosed.


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