General Electric Company

Srikanth Akkaram

Vasanth Muralidharan

Gary Randall Barnes

Sairam Sundaram

Andrew Scott Kessie

Youdong Zhou

Alexander Gabriel Beckford

Charles Larry Abernathy

Dongming Dominic Gao

Michael Howard Fisher

Ronald Joseph Zawoysky

Gregory Jon Chiaramonte

Mandar K Chati

Youngwon Shin

Ricardo Cuevas

William Keith Kincaid

Karan Oberoi

Jesus Miguel Valenzuela

Venkata Vamsi Bhagavan

Mariusz Wiklo

An apparatus and method for predicting distress on a physical component. The method can include obtaining distress data. The distress data can be used to determine a distress rank. The distress rank can be compared to a distress output provided by a kernel that use parameters related to the physical component. The comparison can result in a prediction model for the physical component.

Model for predicting distress on a component

Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target. The example apparatus further includes a system updater to update a computer-based model to replace the operator behavior parameter with the adjusted operator behavior parameter, and a task optimizer to determine a workscope for the turbine engine.

Methods and apparatus to generate a predictive asset health quantifier of a turbine engine

A method for performing new material development. The method comprises receiving a user simulation scenario from a user wherein the user simulation scenario is in a-cyclic graph format and includes a plurality of material development modules represented as vertices. The user simulation scenario also includes a starting module. Each vertex includes data information including at least one input file source and at least one output file destination. Relationships between the modules are represented as edges and each edge includes at least one of previous module and subsequent module. Each edge also includes data flow information between the previous module and the subsequent module. The method further comprises receiving a request to invoke the user simulation scenario and the request includes the input file source for the starting module. Traversing the vertices along the edges is performed in response to receiving the request and to the data flow information. The traversing includes executing the modules associated with each vertex beginning with the starting module in an order specified by the edges and the executing results in data being written to the output file destination for each vertex.

Method, system and computer product for performing new material development

A method of repairing a crack in at least one side of a dovetail portion of a generator rotor coil slot wall, the dovetail portion having received at least two axially adjacent steel wedges and including at least a radial entry surface, an inwardly tapered surface and an intermediate radial surface, the method comprising a) machining a groove at least partly along the inwardly tapered surface to remove damaged material from the coil slot wall; and b) replacing the at least two axially adjacent steel wedges.

Generator rotor fretting fatigue crack repair

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Troy, NY, United States of America

Srikanth Akkaram