General Electric Company

Mary Clarkeson Phillips

Brian T Murren

Henry Lander

Ira Joseph Haimowitz

Barbara Ann Pierce

William James Sumner

Peter Schofield

Chris Robin Bron

David Edwin Kautzmann

John David Alaksiewicz

Brian William Marriner

A method and system of evaluating a turbine component comprises obtaining data relating to respective surface conditions at a plurality of different surface locations of the turbine component and calculating the total profile efficiency loss for the turbine component based on the data. Calculating the total profile efficiency of the turbine component may include calculating the local profile efficiency loss percentage for each of the surface conditions at the different surface locations (and/or sub-areas of the different surface locations) and calculating an average of the local profile efficiency loss percentages, each of the local efficiency loss percentages being weighted by respective predetermined weight factors. The turbine component may be a nozzle or a bucket and each of the turbine component's surface locations may be an admission suction surface, an admission pressure surface, a discharge suction surface or a discharge pressure surface.

System and method for evaluating efficiency losses for turbine components

A method and system for matching new customer records to existing customer records in a database. The new customer records are validated for quality and normalized into a standard form. A hash key is selected to generate a candidate set of records from the existing records in the database that likely matches the new customer records. The new customer records are then matched to each of the records in the candidate set. Once the matching has been performed, a decision is made on whether to create a new customer record, update an existing record, or save the new record in a pending file for resolution at a later time. In another embodiment, there is a methodology for learning matching rules for matching records in a database. The matching rules are then used for matching a new customer record to existing records in a database.

Generating rules for matching new customer records to existing customer

In this invention there is a method and system for matching new customer records to existing customer records in a database. The new customer records are validated for quality and normalized into a standard form. A hash key is selected to generate a candidate set of records from the existing records in the database that likely matches the new customer records. The new customer records are then matched to each of the records in the candidate set. Once the matching has been performed, a decision is made on whether to create a new customer record, update an existing record, or save the new record in a pending file for resolution at a later time. In another embodiment, there is a methodology for learning matching rules for matching records in a database. The matching rules are then used for matching a new customer record to existing records in a database.

Matching new customer records to existing customer records in a large

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Delmar, NY, United States of America

Mary Clarkeson Phillips