General Electric Company

Marc Gavin Lindenmuth

Yan Zhao

Justin Varkey John

Jonathan Carl Thatcher

David Spencer Ewens

Aditya Kumar

Eamon Patrick Gleeson

Fred Henry Boettner

John Rogers Huey

Ruijie Shi

Anup Menon

Nagesh Laxminarayana Kurella

Olugbenga Moses Anubi

Patrick Joseph Conroy

John Robert Korsedal

Scott Alan Kopcho

Christopher Dean Higgins

Peter Frank Andrews

Carlos Andres Hein

David Thomas Bowers

Molli Anne Dill

Sree Rama Raju Vetukuri

Stephen Jeffrey Sullivan

Brian Keith Holzman

Cecil Ernest Ii Weaver

This disclosure provides systems for using failure mode ranking in an asset management system to generate asset maintenance outputs. Operational data, failure mode models, and configuration data for an asset, such as a complex electromechanical system, are related to failure prevention analytics configurations through failure mode rankings to enable the asset management system to reduce a future ranking of potential failure modes by changing the present configuration of the asset to include a recommended failure prevention analytics configuration.

Failure mode ranking in an asset management system

A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.

Gas turbine dispatch optimizer real-time command and operations

A system includes a controller configured to control one or more parameters of a gas turbine engine based on a feedback and a predicted lifespan of one or more components of the gas turbine engine to substantially maintain at least one of power output or heat rate above a threshold level in response to degradation or fouling of the gas turbine engine.

System and method for gas turbine operation

Embodiments of the invention are generally directed to systems and methods for converting application code in a turbine control system. According to one embodiment of the invention, a method for converting a turbine control system may be provided for. The method may include providing a first application code format including one or more elements, providing a second application code format including one or more elements, and identifying mappings of the one or more first application code format elements to the one or more second application code format elements. The method may further include retrieving a first control system application code written in the first application code format, and generating application data from the first control system application code based at least in part on the identified mappings. Additionally, the method may include converting the application data to a second control system application code written in the second application code format.

Methods and systems for converting application code in turbine control systems

Growing community of inventors

Atlanta, GA, United States of America

Marc Gavin Lindenmuth