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. 18, 2023

Filed:

May. 21, 2020
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Dayu Huang, Rexford, NY (US);

Frederick Wilson Wheeler, Niskayuna, NY (US);

John Joseph Mihok, Schenectady, NY (US);

David C. Korim, Albany, NY (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01M 99/00 (2011.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06F 11/07 (2006.01); G06F 17/10 (2006.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G01M 99/005 (2013.01); G06F 11/0748 (2013.01); G06F 17/10 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); H04L 63/1425 (2013.01);
Abstract

A method for detecting anomalies during operation of an asset to improve performance of the asset includes collecting, via a server, data relating to operation of the asset or a group of assets containing the asset. The data includes normal and abnormal asset behavior of the asset or the group of assets containing the asset. Further, the method includes automatically removing, via an iterative algorithm programmed in the server that utilizes one or more inputs or outputs of an anomaly detection analytic, portions of the data containing the abnormal asset behavior to form a dataset containing only the normal asset behavior. The method also includes training, via a computer-based model programmed in the server, the anomaly detection analytic using, at least, the dataset containing only the normal asset behavior. Moreover, the method includes applying, via the server, the anomaly detection analytic to the asset so as to monitor for anomalies during operation thereof.


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