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:
Feb. 11, 2020

Filed:

Sep. 03, 2015
Applicant:

Siemens Energy, Inc., Orlando, FL (US);

Inventors:

Siong Thye Goh, Cambridge, MA (US);

Chao Yuan, Plainsboro, NJ (US);

Amit Chakraborty, East Windsor, NJ (US);

Matthew Evans, Winter Park, FL (US);

Assignee:

SIEMENS ENERGY, INC., Orlando, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01D 3/08 (2006.01); G05B 23/02 (2006.01); G01M 15/14 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G01D 3/08 (2013.01); G01M 15/14 (2013.01); G05B 23/024 (2013.01); G06F 17/18 (2013.01);
Abstract

A method and system for recognizing (and/or predicting) failures of sensors used in monitoring gas turbines applies a sparse coding process to collected sensor readings and defines the L-1 norm residuals from the sparse coding process as indicative of a potential sensor problem. Further evaluation of the group of residual sensor readings is perform to categorize the group and determine if there are significant outliers ('abnormal data'), which would be considered as more likely associated with a faulty sensor than noisy data. A time component is introduced into the evaluation that compares a current abnormal result with a set of prior results and making the faulty sensor determination if a significant number of prior readings also have an abnormal value. By taking the time component into consideration, the number of false positives is reduced.


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