General Electric Company

Charles Larry Abernathy

Daniel John Maggard

Gregory Jon Chiaramonte

Lorenzo Escriche

Steven Richard Levin

John Erik Hershey

Naresh Sundaram Iyer

Brock Estel Osborn

Vijay Thomas John

Michael Dean Fullington

Andrew Scott Kessie

Jeanette Marie Bruno

Vasanth Muralidharan

Victor Manuel Perez Zarate

Srikanth Akkaram

Bernard Dumm

Youngwon Shin

Donald Horn

Venkata Vamsi Bhagavan

Susan Michelle DeMarco

Brett Stephen Kramer

Mariusz Wiklo

Christopher M Henlein

Ricardo Cuevas

Vito N Cece

William Keith Kincaid

Jesus Miguel Valenzuela

Bernard W Dumm

Susan Michelle Demarco

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

Methods, apparatus, systems, and articles of manufacture to generate an asset workscope are disclosed. An example system includes an asset health calculator to identify an asset on which to perform maintenance based on generating a first asset health quantifier corresponding to a first asset health status, a task generator to determine a first workscope including first asset maintenance tasks, and a task optimizer to determine a second workscope including second asset maintenance tasks based on the first asset health quantifier and/or first workscope. The example system includes a workscope effect calculator to generate a second asset health quantifier corresponding to a second asset health status when the second workscope is completed on the asset, and to update the asset health calculator, task generator, and/or task optimizer to improve determination of first and/or second workscopes to improve the second asset health quantifier relative to the first asset health quantifier.

Systems and methods to generate an asset workscope

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

The present disclosure is directed to an automated system and method of analyzing performance of engines in a test cell. The method includes electronically accessing engine operational data in a stored database of the test cell. Another step includes electronically retrieving operational data corresponding to the new test if at least one new test is detected in the stored database for an engine. Further, the method includes inputting the operational data corresponding to the new test into a performance model specific to an engine type for the engine. The method also includes electronically analyzing an output of the performance model. An additional step includes electronically generating at least one summary report of engine health of the engine based on the analyzed output. Thus, the method also includes providing the summary report as electronic output to a user.

Automated system and method for generating engine test cell analytics and diagnostics

A system for collecting and storing performance data for an engine is provided. The system includes one or more sensors configured to generate sensor data signals representative of one or more engine data performance parameters. The system further includes a data sampling component, a data quantizing component, a data storage sampling rate component, a data encoding component and a data storage component. The data sampling component is configured to sample the sensor data signals at a data sampling rate. The data quantizing component is configured to generate quantized data samples corresponding to the sampled sensor data signals. The data storage sampling rate component is configured to determine a data storage sampling rate for the quantized data samples, based on an analysis of at least a subset of the quantized data samples. The data encoding component is configured to encode the quantized data samples according to the data storage sampling rate, and the data storage component is configured to store the encoded data samples from the encoding component.

Method and system for efficient data collection and storage

A decision making process for evaluating performance shifts identified during a diagnostic trend analysis of gas turbine engine data includes first determining whether each performance shift is actionable, and then determining what maintenance action is required for actionable performance shifts. The maintenance action is determined by identifying potential causes of the actionable performance shifts and ranking the identified potential causes in most likely order. A manual is provided for guiding a user through the decision making process. The manual includes a flow chart flow chart setting forth the steps of the decision making process and a number of tables used in the process. The tables include a false data check table having a number of questions designed to determine whether performance shifts can be attributed to a cause not related to an engine condition requiring maintenance, a persistence and magnitude table for indicating whether a performance shift's persistence and magnitude is sufficient to consider taking action on the performance shift, a notification criteria table having a number of questions designed to determine whether the gas turbine engine data indicates that an urgent condition may exist, and traditional and historical pattern match tables that identify potential causes of performance shift.

Decision making process and manual for diagnostic trend analysis

Growing community of inventors

West Chester, OH, United States of America

Charles Larry Abernathy