General Electric Company

Daniel John Maggard

Andrew Scott Kessie

Charles Larry Abernathy

John Sherrill Carpenter

Lorenzo Escriche

Paul Anthony Maletta

Brian Russell Clements

Tomas Eduardo Elias

Oscar Ernesto Escobar

Kyle Dean Blomgren

Byron Andrew Pritchard

Michael Howard Fisher

A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives sensor data representing one or more measured parameters of a turbine engine and determines at least one performance parameter based on the sensor data. The at least one performance parameter represents one or more particulate values associated with the turbine engine. The system generates a health state for the turbine engine based on the at least one performance parameter and generates a wash identifier based on the health state of the turbine engine.

Contamination accumulation modeling

A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.

Method of evaluating a part

Provided is an engine health management system and method for determining health of an engine of an aircraft, that includes a data source interface which transmits data from internal and external data sources, a control module that includes a processor and a memory and receives data via the data source interface, creates evaluation methods for evaluating the data received to determine suitable data and storing the suitable data within the memory, and creates a controlled historical airport information repository to process historical data via the processor and generate airport information reports based on the historical data. The system also includes a central computing system communicatively coupled with the control module and the data source interface, which performs data enhancement techniques including linking environmental counts and accumulations with engine data.

Global environmental data and application methods for understanding engine health and maintenance

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Norwood, OH, United States of America

Daniel John Maggard