General Electric Company

Liping Wang

Arun Karthi Subramaniyan

You Ling

Ankur Srivastava

Isaac Mendel Asher

Patrick Lee Jansen

Daniel M Saban

Shesh Krishna Srivatsa

John L Oldenkamp

Natarajan Chennimalai Kumar

Albert Rosario Cerrone

Don Beeson

Krishnakumar Badhrinath

Felipe Viana

Ravindra V Tappeta

A testing system computer device for dynamically updating a test plan of an apparatus includes at least one processor in communication with at least one memory device. The testing system computer device is configured to store a plurality of historical data and generate a simulation model of the apparatus based in part on the historical data. The simulation model includes a plurality of inputs and a plurality of outputs of the apparatus. The testing system computer device is also configured to determine a plurality of tests to perform on the apparatus based on the simulation model and the plurality of historical data. The testing system computer device is further configured to receive a plurality of desirability ratings from a user, rank the plurality of tests to perform based on the plurality of desirability ratings, and present the ranked plurality of tests to the user.

Systems and method for dynamic combustion tests

Some aspects are directed to data reconciliation frameworks. An example framework is configured to receive core data, the system model comprising a plurality of data records associated with at least two assets, receive a system model, the system model comprising context data indicating, execute a configuration operation of a data validation process based on the system model, execute the data validation process to identify at least one inconsistent or incomplete record among the plurality of data records, determine at least one data reconciliation technique from a plurality of data reconciliation techniques based on the system model, and apply the at least one data reconciliation technique to the core data to reconcile the at least one inconsistent or incomplete record.

Methods and systems for implementing a data reconciliation framework

A method implemented using a processor based device for simulation based testing of materials, includes selecting a first set of points from a data generated from a design space and generating a stochastic metamodel based on the first set of points. The method also includes determining an uncertainty value based on the stochastic metamodel. The method also includes identifying a second set of points different from the first set of points, from the data generated from the design space, based on the uncertainty value. The method further includes combining the second set of points with the first set of points to generate a third set of points, assigning the third set of points to the first set of points. The method also includes iteratively generating, determining, identifying, combining, and assigning steps till the uncertainty value is less than or equal to a predetermined threshold value.

Probabilistic method and system for testing a material

A method is provided to facilitate optimizing a winding and lamination configuration an electric machine. The method employs a computer including a microprocessor for executing computer functions, a database for storing optimization data, and a two-level optimization algorithm that has a first optimization module and a second optimization module. The method includes generating a plurality of data sets utilizing the first determining an optimum response surface based the data sets, utilizing the second module, determining an optimum data set based on the optimum response surface, utilizing the first module, and outputting an optimum winding and lamination configuration based on the optimum data set.

Method for optimizing strategy for electric machines

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Halfmoon, NY, United States of America

Liping Wang