General Electric Company

Avinash Vinayak Taware

Hua Xia

Kevin Thomas McCarthy

Kung-Li Justin Deng

Piero Patrone Bonissone

Rajesh Venkat Subbu

Neil Colin Widmer

John Erik Hershey

Xiao Liang Hu

Robert J Mitchell, Jr

Ajai Singh

Willy Steve Ziminsky

Minesh Ashok Shah

Michael Joseph Krok

Aditya Kumar

Bruce Gordon Norman

Pingchuan Wu

Vivek Venugopal Badami

Jian Zhou

Mark Edward Cardinal

Pierino Gianni Bonanni

Ertan Yilmaz

James Kenneth Aragones

Michael Richard Durling

Daniel Edgardo Viassolo

Vasanth Srinivasa Kothnur

Jeffrey Scott Goldmeer

Robert Marcel Mattheyses

Maria Cecilia Mazzaro

Yu Zhao

Ravindra Annigeri

Fei Teng

Steven Keith Handelsman

Brent Jerome Brunell

Bernardo Adrian Movsichoff

Thomas Ernst Dinjus

Andrew Todd Lehmann

Richard B Hook

Ronald George Maruscik

William Lee Barrow

Peter Thomas Harrison

Kenneth Paul Meiners

Carol Lynn Kiaer

Ivy Wai Man Chong

Teeporn Paul Tanpitukpongse

Paul Teeporn Tanpitukpongse

Santanu Chatterjee

Ivy Wai Chong

Richard Bradford Hook

A method of generating linear models for a physical system of interest is implemented in steps including, first, determining offline, a set of linear models for the physical system of interest by linearization of a nonlinear computational model of the physical system of interest at selected operating points or from desired data; second, analyzing offline, accuracy of each linear model and eliminating inaccurate linear models therefrom to provide a residual set of linear models; third, generating offline, linear models corresponding to grid points of one or more lookup tables based on the residual set of linear models; fourth, associating offline, lookup table grid points with selected scheduling variables, and fifth, generating algorithmic software for the physical system therefrom such that linear models for the physical system generated offline form the basis for online scheduling of linear models.

Real-time scheduling of linear models for control and estimation

A method and system for online power management of a turbine engine is provided. The method includes operating an engine control system on a first bandwidth, filtering at least one data input from the engine control system to a second bandwidth, and receiving, by a power management system operating on the second bandwidth, the at least one filtered data input. The method also includes predicting an engine operating condition using the at least one filtered data input using a closed-loop engine model, determining an optimal engine power management based on the prediction, solving a constrained optimization for a desired optimization objective, and outputting the optimal engine power management to the engine control system.

Methods and systems for managing power of an engine

A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.

System and method for advanced condition monitoring of an asset system

A method for advanced condition monitoring of an asset system includes monitoring a variable of an asset system using the at least one sensor of a smart sensor system; determining whether the asset system has departed from normal operation; and identifying the variable of the asset system indicating the departure from normal operation. In another method, the time sequential values of the monitored variable is analyzed by using a Rank Permutation Transformation test, a Hotelling's Tstatistic test, and a Likelihood Ratio Test; and a change of an operating condition of the asset system is determined using the analyzed values. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.

A method of verifying operation of at least one wind turbine sensor includes dynamically defining a neighborhood of neighbor wind turbines for a first wind turbine, each neighbor wind turbine including at least one sensor. The method also includes receiving data from at least one neighbor wind turbine sensor and determining a status of at least one sensor of the first wind turbine using the data received from the neighbor wind turbine sensor.

Control system and methods of verifying operation of at least one wind turbine sensor

A method for advanced condition monitoring of an asset system includes using a plurality of auto-associative neural networks to determine estimates of actual values sensed by at least one sensor in at least one of the plurality of operating regimes; determining a residual between the estimated sensed values and the actual values sensed by the at least one sensor from each of the plurality of auto-associative neural networks; and combining the residuals by using a fuzzy supervisory model blender; performing a fault diagnostic on the combined residuals; and determining a change of the operation of the asset system by analysis of the combined residuals. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.

A system, a method, and an article of manufacture for adjusting CO emission levels in predetermined locations in a boiler system are provided. The boiler system has a plurality of burners and a plurality of CO sensors disposed therein. The system determines locations within the boiler system that have relatively high CO levels utilizing the plurality of CO sensors and then adjusts A/F ratios of burners affecting those locations to decrease the CO levels at the locations.

System, method, and article of manufacture for adjusting CO emission levels at predetermined locations in a boiler system

In accordance with one exemplary embodiment the invention provides a multi-parameter fiber optic sensing system with an aperiodic sapphire fiber grating as sensing element for simultaneous temperature, strain, NO, CO, Oand Hgas detection. The exemplary sensing system includes an aperiodic fiber grating with an alternative refractive index modulation for such multi-function sensing and determination. Fabrication of such quasiperiodic grating structures can be made with point-by-point UV laser inscribing, diamond saw micromachining, and phase mask-based coating and chemical etching methods. In the exemplary embodiment, simultaneous detections on multi-parameter can be distributed, but not limited, in gas/steam turbine exhaust, in combustion and compressor, and in coal fired boilers etc. Advantageously, the mapping of multiple parameters such as temperature, strain, and gas using sapphire aperiodic gratings improves control and optimization of such systems directed to improve efficiency and output and reduce emissions.

Methods of making and operating a fiber optic sensing device

A fiber gas sensor includes a fiber core with first and second refractive index periodic modulated grating structures having different amplitude modulation profiles positioned about the fiber core. A fiber cladding is positioned about the first and second refractive index periodic modulated grating structures. A sensing layer is positioned about the fiber cladding of one of the refractive index periodic modulated grating structures. The sensing layer includes a sensing material made of a Pd-based alloy, such as nano-PdOx, nano-Pd(x)Au(y)Ni(1-x-y) or nano-Pd/Au/WOx. The fiber gas sensor provides a measurement of localized, temperature-corrected gas concentration and composition from a combustion environment. A reflection-based or a transmission-based sensing system with an array of one or more fiber gas sensors is also described.

Sensing system with fiber gas sensor

A system and a method for decreasing a rate of slag formation at predetermined locations in a boiler system are provided. The boiler system has a plurality of burners, a plurality of slag detection sensors, a plurality of temperature sensors and a plurality of CO sensors disposed therein. The system determines locations within the boiler system that have relatively high slag thickness levels utilizing the plurality of slag detection sensors and then adjusts A/F ratios or mass flows of burners affecting those locations, or adds slag reducing additives to the burners affecting those locations, to decrease a rate of slag formation at the locations, utilizing signals from the plurality of slag detection sensor, the plurality of temperature sensors, and the plurality of CO sensors.

System and method for decreasing a rate of slag formation at predetermined locations in a boiler system

A system, a method, and an article of manufacture for adjusting temperature levels in predetermined locations in a boiler system are provided. The boiler system has a plurality of burners and a plurality of temperature sensors and CO sensors disposed therein. The system determines locations within the boiler system that have relatively high temperature levels utilizing the plurality of temperature sensors and then adjusts A/F ratios of burners affecting those locations to decrease the temperature levels at the locations while maintaining CO levels at or below a threshold level.

System, method, and article of manufacture for adjusting temperature levels at predetermined locations in a boiler system

A sensing module positioned about an optical fiber cable having a long axis. The optical fiber includes a core that transmits light through the optical fiber cable. The sensing module includes a first short-period fiber grating positioned about the core. A second short-period fiber grating is positioned about the core and at a distance along the long axis with respect to the first short-period fiber grating. At least one of a long-aperiod fiber grating and a long-period fiber grating is positioned between the first short-period fiber grating and the second short-period fiber grating. A fiber cladding is positioned around the long-period grating and/or the long-aperiod grating of the sensing module. A sensing skin is positioned about the fiber cladding and includes a chemical gas active material.

Method, system and module for monitoring a power generating system

A method, system and software for reducing combustion chamber to chamber variation in a multiple-combustion chamber turbine system comprising sensing dynamic combustion pressure tones emitted from combustion chambers in a multiple combustion chamber turbine and determining a combustion chamber stratification index for the combustion chambers from the dynamic combustion pressure tones emitted for the combustion chambers to record and/or tune combustion chamber performance variations in the multiple-chamber combustion turbine system.

Method of tuning individual combustion chambers in a turbine based on a combustion chamber stratification index

Fiber optic sensing device and method of making and operating the same

Growing community of inventors

Niskayuna, NY, United States of America

Avinash Vinayak Taware