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. 24, 2015

Filed:

Jun. 20, 2011
Applicants:

Maria Cecilia Mazzaro, Greenville, SC (US);

Fernando Javier D'amato, Niskayuna, NY (US);

Jitendra Kumar, Atlanta, GA (US);

Vivek Venugopal Badami, Niskayuna, NY (US);

Mahalakshmi Shunmugham Balasubramaniam, Karnataka, IN;

Roopesh Bhaskaran Nagathil, Smyrna, GA (US);

Inventors:

Maria Cecilia Mazzaro, Greenville, SC (US);

Fernando Javier D'Amato, Niskayuna, NY (US);

Jitendra Kumar, Atlanta, GA (US);

Vivek Venugopal Badami, Niskayuna, NY (US);

Mahalakshmi Shunmugham Balasubramaniam, Karnataka, IN;

Roopesh Bhaskaran Nagathil, Smyrna, GA (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G01L 7/18 (2006.01); G01L 15/00 (2006.01); G06F 7/02 (2006.01); G01L 3/26 (2006.01); F01D 17/08 (2006.01); F02C 1/06 (2006.01); F01K 7/04 (2006.01); F01K 7/22 (2006.01); F01K 13/02 (2006.01);
U.S. Cl.
CPC ...
G01L 3/26 (2013.01); F01D 17/08 (2013.01); F01K 7/04 (2013.01); F01K 7/22 (2013.01); F01K 13/02 (2013.01); F02C 1/06 (2013.01);
Abstract

Systems and methods of estimating an efficiency of a section of a steam turbine are disclosed. The systems and methods include determining a set of measurement data obtained directly from a set of sensors on the steam turbine, determining a set of derived data relating to measurements that cannot be obtained directly from the set of sensors, and estimating the efficiency of the section using the set of measurement data and the set of derived data. The systems and methods disclosed use physics-based models combined with nonlinear filtering techniques to estimate steam turbines' efficiencies when physical sensors are not available. These models capture the behavior of different components of the power plant, including all steam turbine sections, admission and crossover pipes, flow junctions, admission and control valves.


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