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. 28, 2020

Filed:

Sep. 12, 2016
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Hua Zhang, Greenville, SC (US);

Bradly Kippel, Greenville, SC (US);

David Trayhan, Greenville, SC (US);

Iris Hu, Greenville, SC (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F01D 25/00 (2006.01); B01D 46/00 (2006.01); F01D 21/00 (2006.01); G01M 15/14 (2006.01); F02C 7/055 (2006.01);
U.S. Cl.
CPC ...
F01D 25/002 (2013.01); B01D 46/008 (2013.01); B01D 46/0086 (2013.01); F01D 21/003 (2013.01); F02C 7/055 (2013.01); G01M 15/14 (2013.01); B01D 2279/60 (2013.01); F05D 2230/72 (2013.01); F05D 2260/607 (2013.01); F05D 2260/80 (2013.01); F05D 2270/311 (2013.01); F05D 2270/71 (2013.01); F05D 2270/80 (2013.01);
Abstract

In one embodiment, a turbine system includes a compressor, an intake section including a filter house and an inlet duct. The intake section is coupled to the compressor, and the filter house is upstream from the inlet duct. The turbine system also includes one or more sensors disposed in the intake section, and a processor configured to receive sensor data from the one or more sensors, one or more filter degradation rates for one or more filtration stages of the filter house, or some combination thereof, predict a compressor degradation rate for the compressor using a compressor degradation prediction model that provides a function of performance of the compressor based on the sensor data, the one or more filter degradation rates, or some combination thereof, and perform one or more preventative actions based on the compressor degradation rate prediction.


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