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:
Nov. 22, 2016

Filed:

Dec. 05, 2013
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Romano Patrick, Marietta, GA (US);

Matthew Francis Lemmon, Marietta, GA (US);

Subrat Nanda, Houston, TX (US);

Jonathan David White, Grand Baby, AL (US);

Achalesh Kumar Pandey, Greenville, SC (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F23M 11/00 (2006.01); G01M 15/14 (2006.01); F23R 3/00 (2006.01); F23N 5/16 (2006.01); F23N 5/24 (2006.01);
U.S. Cl.
CPC ...
G01M 15/14 (2013.01); F23M 11/00 (2013.01); F23N 5/16 (2013.01); F23N 5/242 (2013.01); F23R 3/00 (2013.01); F05D 2260/80 (2013.01); F23N 2023/48 (2013.01); F23N 2023/54 (2013.01); F23N 2041/20 (2013.01); F23R 2900/00005 (2013.01); Y02T 50/677 (2013.01);
Abstract

A system for detecting an at-fault combustor includes a sensor that is configured to sense combustion dynamics pressure data from the combustor and a computing device that is in electronic communication with the sensor and configured to receive the combustion dynamics pressure data from the sensor. The computing device is programmed to convert the combustion dynamics pressure data into a frequency spectrum, segment the frequency spectrum into a plurality of frequency intervals, extract a feature from the frequency spectrum, generate feature values for the feature within a corresponding frequency interval over a period of time, and to store the feature values to generate a historical database. The computing device is further programmed to execute a machine learning algorithm using the historical database of the feature values to train the computing device to recognize feature behavior that is indicative of an at-fault combustor.


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