General Electric Company

Transportation IP Holdings, LLC

Ge Global Sourcing LLC

Progress Rail Services Corporation

Ge Aviation Systems Limited

Harry Kirk Mathews, Jr

James D Brooks

Brian Nedward Meyer

Subhrajit Roychowdhury

Dan Dai

Pierino Gianni Bonanni

Paul Kenneth Houpt

Benjamin Paul Church

John Erik Hershey

John Stanley Glaser

Sridhar Adibhatla

Constantinos Minas

Brock Estel Osborn

Gabriel De Albuquerque Gleizer

Emad Andarawis Andarawis

William Thomas Carter

Kevin George Harding

Victor Petrovich Ostroverkhov

Stefan Joseph Cafaro

Jason Harris Karp

Joseph Lucian Smolenski

Justin John Gambone, Jr

Dean Michael Robinson

Kevin Richard Graziano

Rogier Sebastiaan Blom

Joseph Daniel Wakeman

Anup Menon

Brendon Matthew Leeker

Kristopher Ryan Smith

Jeffrey Russell Bult

Ajith Kuttannair Kumar

Marshall Gordon Jones

David Michael Davenport

David Charles Bogdan, Jr

Thomas Graham Spears

Jinjie Shi

Eric Richard Westervelt

William Cherrick Schoonmaker

Michael Richard Durling

David So Keung Chan

Robert William Tait

Lana Maria Osusky

William Morton

James William Sears

Huageng Luo

Conner Brooks Shane

Gregory Alexander Natsui

George Charles Goodman

John Harry Down

Sunil Shirish Shah

Bret Dwayne Worden

Ertugrul Berkcan

Wolfgang Daum

Peter Michael Edic

Kenneth Brakeley Welles

Honggang Wang

Trevor Howard Wood

Christopher Donald Johnson

Kishore Ramakrishnan

Michael Evans Graham

Walter Whipple

Matthew Christian Nielsen

Samhita Dasgupta

Todd Alan Anderson

Walter Vincent Dixon, Iii

Ravi Rajamani

Mark Allen Cheverton

William Thomas Hatfield

Thomas Baby Sebastian

Suresh Baddam Reddy

Jonathan Carl Thatcher

Srinivas Bollapragada

Austars Raymond Schnore, Jr

Minesh Ashok Shah

David Michael Lax

Avinash Srikrishnan Kashyap

Harry Israel Ringermacher

Nidhi Naithani

Dattaraj Jagdish Rao

Scott Douglas Waun

Mark Lawrence Darnell

Aaron Jay Knobloch

Aditya Kumar

Bruce Gordon Norman

Ramu Sharat Chandra

Anju Bind

Sreyashi Dey Chaki

Timothy Richard DePuy

Scott Michael Miller

Sal Albert Leone

Hullas Sehgal

Purnaprajna Raghavendra Mangsuli

Lang Yuan

Manthram Sivasubramaniam

Sharath Sridhar Aramanekoppa

R Sheldon Carpenter

Olugbenga Moses Anubi

Edgar T Balch

Michael Scott Miner

Shannon Joseph Clouse

A first electrical machine is operated according to a first mode and a second electrical machine is operated according to a second mode. A power split of operation of the first electrical machine and the second electrical machine is determined. The operation of the first electrical machine and the second electrical machine are controlled according to the power split. The power split is optimized to protect operating constraints of the components of the engine and the aircraft while delivering required thrust to the aircraft.

Method and apparatus for controlling electrical machines operating with a turbine engine

Systems and methods for high bandwidth control of thrust response for turbofan or turboprop engines are provided. Such systems and methods include an engine control system that processes a rate command and a feedback signal from an engine to generate separate fuel and electric machine control signals that respectively control fuel and electric machine dynamics of the engine to produce engine dynamics that result in desired thrust response.

High bandwidth control of turbofan/turboprop thrust response using embedded electric machines

A method and system controller includes determining a power requirement for a vehicle system to complete a planned trip over a route. The method includes determining whether an amount of available power from the vehicle system is sufficient to propel the vehicle system to complete the planned trip by comparing the available power with the power requirement that is determined. The method includes changing one or more operational aspects of the planned trip based on the comparison between the amount of available power and the power requirement that is determined to generate a newly planned modified trip.

System and method for managing vehicle operations

An engine control system may be configured to perform a method of controlling thermal bias in a turbomachine. An exemplary method may include determining a thermal bias-value for the turbomachine, and performing a cooling treatment based at least in part on the thermal bias-value. The thermal bias-value may include a difference between an upward temperature-value corresponding to a first one or more temperature measurements of an upward portion of the turbomachine and a downward temperature-value corresponding to a second one or more temperature measurements of a downward portion of the turbomachine. The cooling treatment may include at least one of: circulating air through at least a portion of the turbomachine, and rotating a shaft of the turbomachine with a motoring system.

Thermal bias control in turbomachines

An aircraft engine includes a low pressure spool, a high pressure spool, and an alternative power source. The alternative power source is configured to add power to the high pressure spool. A controller is configured to determine a noise sensitive condition; and control, in response to determining the noise sensitive condition, the alternative power source to add power to the high pressure spool.

Gas turbine engine noise reduction

A vehicle system having processors configured to determine regions of a trip where the vehicle system is permitted for a first mode of control. The permissible regions of the trip are determined based on one or more of parameters of a route, a trend of operating parameters of the vehicle system, or a trip plan that designates one or more operational settings of the vehicle system at different locations, different times, or different distances along a route. The processors also are configured to control transition of the vehicle system between a second mode of control and the second mode of control in the regions by alerting an operator of the vehicle system, automatically switching between the modes of control, or modifying conditions on which the transition occur.

Adaptive vehicle control system

Generating fault indications for an additive manufacturing machine based on a comparison of the outputs of multiple process models to measured sensor data. The method receiving sensor data from the additive manufacturing machine during manufacture of at least one part. Models are selected from a model database, each model generating expected sensor values for a defined condition. Difference values are computed between the received sensor data and an output of each of the models. A probability density function is computed, which defines, for each of the models, a likelihood that a given difference value corresponds to each respective model. A probabilistic rule is applied to determine, for each of the models, a probability that the corresponding model output matches the received sensor data. An indicator is output of a defined condition corresponding to a model having the highest match probability.

System and methods for generating fault indications for an additive manufacturing process based on a probabilistic comparison of the outputs of multiple process models to measured sensor data

A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.

System and method for controlling a vehicle system to achieve objectives during a trip

A gas turbine engine is provided having: a turbomachine; a fan section having a fan rotatable by the turbomachine; a nacelle enclosing the fan; and an engine controller positioned within the nacelle. The nacelle defines an inner surface radius (r) along the radial direction inward of the engine controller, wherein the engine controller defines a radial height (Δr) along the radial direction, a total volume (V), and a normalized radius (r'). The normalized radius (r′) is a ratio of the inner surface radius (r) to the total volume (V) to cube root, and wherein these parameters are related by the following equation:0.1(′)(′),wherein the normalized radius (r′) is between 1.25 and 8 and K is equal to 40%, or the normalized radius (r′) is between 2.75 and 4.5 and K is equal to 65%.

Engine controller for a gas turbine engine

A distributed control system includes a remote control system configured to be communicatively coupled with plural separate vehicle systems. The remote control system is configured to remotely control operation of the vehicle systems and/or communicate with the local vehicle control system or operator. The remote control system also is configured to one or more of change how many of the vehicle systems are concurrently controlled by the remote control system or change how many remote operators of the remote control system concurrently control the same vehicle system of the vehicle systems.

Distributed vehicle system control system and method

A powder melting device for an additive manufacturing system including a laser device configured to emit an energy beam and a beam modulator. The beam modulator is configured to selectively induce an angular deflection in the energy beam for a predetermined time period such that the energy beam generates a plurality of melt pools in a powder bed.

Systems and methods for fabricating a component with a simulated laser array

A system and method that includes determining a relationship between a moving resistance of a vehicle system and one or more characteristics of the vehicle system. A trip plan may be generated based at least in part on the relationship for movement of the vehicle system through one or more sections of one or more routes based at least in part on the relationship. One or more operational settings of the vehicle system are then designated for implementing the trip plan to drive movement of the vehicle system to achieve one or more objectives.

Vehicle control system

Clearance control schemes for controlling a clearance defined between a first component and a second component of a gas turbine engine are provided. In one aspect, an engine controller of the gas turbine engine implements a clearance control scheme, which includes receiving data indicating a clearance between the first component and the second component, the clearance being at least one of a measured clearance captured by a sensor and a predicted clearance specific to the gas turbine engine at that point in time; comparing the clearance to an allowable clearance; determining a clearance setpoint for a clearance adjustment system based on a clearance difference determined by comparing the clearance to the allowable clearance; and causing the clearance adjustment system to adjust the clearance to the allowable clearance based on the clearance setpoint.

Clearance control for engine performance retention

A method includes obtaining one or more images of a segment of a route from a camera while a vehicle is moving along the route. The segment of the route includes one or more guide lanes. The method also includes comparing, with one or more computer processors, the one or more images of the segment of the route with a benchmark visual profile of the route based at least in part on an overlay of the one or more images onto the benchmark visual profile or an overlay of the benchmark visual profile onto the one or more images. The one or more processors identify a misaligned segment of the route based on one or more differences between the one or more images and the benchmark visual profile and respond to the identification of the misaligned segment of the route by modifying an operating parameter of the vehicle.

Optical route examination system and method

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Harry Kirk Mathews, Jr