Steven M Butler

8271233, Sep 18, 2012

Apr 1, 2008

12/060397

Steven W. Butler - Columbia CT, US

United Technologies Corporation - Hartford CT

G06F 11/30

702185, 702186, 702187, 702188

A fault isolation method and system includes tailored fault isolators for each grouping of similar data to differentiate between one or several potential faults within any group.

8306791, Nov 6, 2012

Dec 21, 2009

12/643579

Sampath K. Yerramalla - Manchester CT, US
Steven Wayne Butler - Columbia CT, US
William Donat - Manchester CT, US

United Technologies Corporation - Hartford CT

G06F 17/10
G06G 7/48

703 2, 703 8

A method for modeling the performance of a gas turbine engine is provided. The method includes the steps of: 1) providing a processor; 2) inputting flight condition parameter data and engine output parameter data into a gas turbine engine model operating on the processor, which model includes a physics-based engine model that uses the flight condition parameter data to produce estimated engine output parameter data, and determines residuals from the engine output parameter data and the estimated engine output parameter data; 3) partitioning the flight condition parameter data and residuals into training data and testing data; 4) performing a correlation reduction on the training data, which analysis produces correlation adjusted training data; 5) performing an orientation reduction on the correlation adjusted training data, which reduction produces orientation adjusted training data; 6) reviewing the orientation adjusted training data relative to at least one predetermined criteria, and iteratively repeating the steps of performing a correlation reduction and an orientation reduction using the orientation adjusted training data if the criteria is not satisfied, and if the criteria is satisfied outputting the orientation adjusted training data; 7) producing estimated corrections to the orientation adjusted training data using one or more neural networks; 8) evaluating the neural adjusted data using the partitioned testing data; and 9) modeling the performance of the gas turbine using the estimated corrections to the orientation adjusted training data.

8417432, Apr 9, 2013

Apr 30, 2008

12/112021

Steven Wayne Butler - Columbia CT, US

United Technologies Corporation - Hartford CT

G06F 19/00
G06F 11/07
G06F 11/30
G01M 15/14

701100, 701 302, 701 303, 701 319, 702185

A method and system is developed that provides a confidence measure of a prediction of a fault in a gas turbine engine. The confidence measure is developed based upon evaluating the results of a plurality of past predictions and comparing them to an actual fault.

20100017092, Jan 21, 2010

Jul 16, 2008

12/174015

Steven Wayne Butler - Columbia CT, US

G06F 19/00

701100, 702185

A method of operating and a fault diagnosis system compares readings to predicted faults using a model-based component, and a database of previous actual fault examples. A predicted fault is provided to an output based upon a combination of both the model-based component and the actual fault examples.

20140222310, Aug 7, 2014

Oct 9, 2012

13/647964

Allan J. Volponi - West Simsbury CT, US
Steven W. Butler - Columbia CT, US

UNITED TECHNOLOGIES CORPORATION - Hartford CT

G01M 15/04

701101

An engine monitor includes a first tuned modeling unit, a second tuned modeling unit and a monitoring unit. The first tuned modeling unit models dynamics of a first engine by processing first control data with a first engine model to provide modeled first engine parameter data, and at least partially adjusts the modeled first engine parameter data for model error in the first engine model to provide first tuned parameter data. The second tuned modeling unit models dynamics of a second engine by processing second control data with a second engine model to provide modeled second engine parameter data, and at least partially adjusts the modeled second engine parameter data for model error in the second engine model to provide second tuned parameter data. The monitoring unit correlates the first and the second tuned parameter data to monitor operation of the first and the second engines.