General Electric Company

William Randolph Shinkle

James Arthur Simmons

Sridhar Adibhatla

Subrat Nanda

Deepak Manohar Kamath

Hardev Singh

David Michael Boudreaux

Timothy J Romano

A monitoring system includes a processor configured to calculate a first distance of a first signal, wherein the first distance represents changes in magnitude of the first signal over a period of time, and wherein the first signal is associated with a desired signal output of a feedback loop system. The processor is configured to receive a second signal from an output of the feedback loop system. The processor is configured to calculate a second distance of the second signal, wherein the second distance represents changes in magnitude of the second signal over the period of time. The processor is configured to determine a first difference between the first distance and the second distance. The processor is configured to provide an error signal indicating an error if the difference exceeds a threshold value.

Method to quantify closed loop position control health

A method includes: obtaining a measurement; determining whether the measurement is in a first range, a second range, or a third range; controlling operation of a valve in a full-freeze mode when the data measurement falls within the first range; controlling the operation of the valve of the turbine system in a semi-freeze mode when the data measurement falls within the second range; and controlling the operation of the valve of the turbine system in a full-operation mode when the data measurement falls within the third range.

Valve position demand systems and methods

A system, includes machinery; and a protection monitoring system, comprising a processor configured to: analyze a trend of one or more data measurements of the machinery for one or more patterns indicative of a potential future fault within the machinery in the trend; and provide a fault prediction based upon the analysis of the trend.

Systems and methods for fault analysis

Systems and methods for regulating a bulk flame temperature in a dry low emission (DLE) engine are provided. According to one embodiment of the disclosure, a method may include measuring an exhaust gas temperature (EGT) and determining a target EGT. The target EGT is determined based at least in part on a compressor bleed air flow percentage and a combustor burning mode. The method may include calculating a bias based at least in part on the EGT and the target EGT and applying the bias to a bulk flame temperature schedule. The method may include regulating one or more staging valves and compressor bleeds of the DLE engine based at least in part on the bulk flame temperature schedule. The bulk flame temperature schedule is mapped to parameters of the staging valves and compressor bleeds to reduce nitric oxide, nitrogen dioxide, and carbon monoxide emissions.

Bulk flame temperature regulator for dry low emission engines

A fuel routing system of a gas turbine engine includes a primary fuel circuit in communication with a fuel source and a fuel distribution manifold. Also included is a secondary fuel circuit extending from the primary fuel circuit to a plurality of fuel nozzles configured to direct fuel to a plurality of combustor chambers. Further included is a main fuel flow control valve disposed in the primary fuel circuit for restricting a fuel flow to the fuel distribution manifold upon removal of an electrical load operably coupled to the gas turbine engine. Yet further included is a plurality of check valves disposed between the secondary fuel circuit and the primary fuel circuit for restricting the fuel flow between the secondary fuel circuit and the primary fuel circuit.

Fuel routing system of a gas turbine engine and method of routing fuel

Sensor-based, performance-seeking control of gas turbine engines is disclosed. An example method of controlling a gas turbine engine may include varying an engine input parameter while operating the gas turbine engine to produce a desired output, including measuring a pre-adjustment value of an engine operating parameter with an engine input parameter at an initial value, adjusting the engine input parameter to a current adjusted value, and measuring a post-adjustment value of the engine operating parameter. The method may include determining a future adjusted value of the engine input parameter and iteratively repeating the varying the engine input parameter operation and the determining the future adjusted value of the engine input parameter operation. The method may be performed while operating the gas turbine engine to produce a desired output.

Sensor-based performance-seeking gas turbine engine control

A rate controlled noise filter according to the present invention comprises a transient detector adapted to receive an input signal and detect the rate at which the input signal is changing. The transient detector may be, for example, a filter having a second order filtered rate. The output of the transient detector is input to a function generator which outputs a signal indicative of the rate of change of the input signal. A noise filter, including a controllable time constant, also filters the input signal. The output of the function generator controls the time constant of the noise filter.

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Cincinnati, OH, United States of America

William Randolph Shinkle