General Electric Company

James Kenneth Aragones

Jeffrey William Stein

Naresh Sundaram Iyer

Hongwei Liao

Mark Thomas Harrington

Piero Patrone Bonissone

Weizhong Yan

David So Keung Chan

Jonathan Mark Dunsdon

Ronald George Maruscik

Amy Victoria Aragones

John Erik Hershey

Pierino Gianni Bonanni

Kai F Goebel

Avinash Vinayak Taware

Anil Varma

Charles Terrance Hatch

Feng Xue

Robert Marcel Mattheyses

Mark Mitchell Kornfein

Russell Robert Irving

Nitika Bhaskar

Catherine Joyce Lazatin

Carol Lynn Kiaer

Jeremiah Francis Donoghue

Bruce Douglas Pomeroy

Deniz Senturk Doganaksoy

William Talbert Tucker

Charles Edward Eaker

Steven Thomas Livingston

Brian Thomas Ovington

Kai Frank Goebel

A method, medium, and system to receive a planned flight schedule and an actual flight schedule; determine root cause disturbances for the actual flight schedule based on the planned flight schedule and the actual flight schedule; evaluate a robustness of the planned flight schedule based on an execution of a simulation-based model to generate a set of quantitative metrics for the planned flight schedule; generate a record of the root cause disturbances and a record of the set of quantitative metrics for the planned flight plan; evaluate a robustness of a test flight schedule based on an execution of the simulation-based model and the determined root cause disturbances applied to the simulation-based model to generate a set of quantitative metrics for the test flight schedule; and generate a record of the set of quantitative metrics for the test flight plan.

Method and system for automatic evaluation of robustness and disruption management for commercial airline flight operations

A method, medium, and system to receive actual flight schedule data, including flight details associated with each flight of the actual flight schedule; determine an estimate of at least one of airline operations performance constraints and metrics based on the actual flight schedule data and at least one of business rules and an execution of a simulation-based model; and generate a record of corrected actual flight data based on the estimate of at least one of airline operations performance constraints and metrics and the actual flight data.

System and method for rule-based analytics of temporal-spatial constraints on noisy data for commercial airlineflight operations

A method, medium, and system to receive a baseline airline schedule including details associated with at least one flight; optimize the baseline airline schedule in accordance with at least one specified optimization objective to generate an optimized airline schedule; evaluate a robustness of the optimized airline schedule based on an execution of a simulation based process to generate a set of quantitative metrics; and generate a record of the set of quantitative metrics.

Method and system for robust network planning optimization of airline flight operations

A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Computer-implemented methods and systems for determining fleet conditions and operational management thereof

An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights where the airline operations control system includes a computer searchable database a query module configured to query the database and a display module and a method of controlling operation of the airline having the multiple aircraft and the multiple routes.

System and method for controlling operation of an airline

The performance of optimization algorithms operating with compute-intensive fitness functions is enhanced by constraining time-intensive fitness evaluations for candidate solutions that show low likelihood of being fit at early stages of the fitness evaluation. By prematurely discarding alternatives that could be potentially optimal upon complete fitness evaluation but with low likelihood, the running time of the overall optimization process is advantageously reduced substantially, thereby trading off time complexity for search fidelity.

Performance enhancement of optimization processes

System, method and computer product for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.

System and method for measuring quality of baseline modeling techniques

System, method and computer-readable medium for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.

System and method for improving accuracy of baseline models

System, method and computer product for baseline modeling a product or process

System and method for diagnosing faults utilizing baseline modeling techniques

A method for analyzing vibration including: acquiring a vibration signal; isolating a vibration signal event in the acquired signal; determining a frequency of a damped sinusoid of the vibration signal event, wherein the damped sinusoid characterizes the vibration signal event, and using the characteristic damped sinusoid to identify an occurrence of the vibration signal event in another vibration signal.

Method and apparatus for signal signature analysis for event detection in rotating machinery

A method for monitoring engine performance includes sampling exhaust gas temperature associated with a turbine engine over an interval of operational time of the turbine engine. The method further includes applying a first test to identify statistical outliers on the sampled exhaust gas temperature data and removing identified statistical outliers from the sampled exhaust gas temperature data. Subsequently, the method includes applying a second test to identify step changes in slope of the exhaust gas temperature data and dividing the interval of operational time into one or more segments based upon the identified step changes. Finally, the method includes determining a slope for each segment and combining the segments to obtain a rate of performance deterioration of the turbine engine.

System and method for estimating turbine engine deterioration rate with noisy data

A method for facilitating an optimization of a control space in n dimensions is provided. The control space includes a plurality of points, and the method includes removing at least one hyperplane of the control space, and perturbing the remaining points of the control space to lessen errors relative to the control space prior to the removal of at least one hyperplane.

Methods and apparatus for reducing hyperplanes in a control space

A system and method for automatically predicting timing and costs of future service events in a life cycle of a product. A database contains a plurality of service information and performance information for the product. A statistical analyzer automatically analyzes the plurality of processed service information to determine a plurality of compartment failure information. A performance deterioration rate analyzer automatically analyzes the performance deterioration rate of the product from the plurality of service information and performance information. A simulator, automatically simulates a distribution of future service events in the life cycle of the product and predicts the costs of the service events according to the plurality of compartment failure information and the performance deterioration rate analysis.

System and method for automatically predicting the timing and costs of service events in a life cycle of a product

A system and method for predicting timing of future service events of a product. A database contains a plurality of service information and performance information for the product. A statistical analyzer analyzes the plurality of processed service information to determine a plurality of compartment failure information. A performance deterioration rate analyzer analyzes the performance deterioration rate of the product from the plurality of service information and performance information. A simulator, simulates a distribution of future service events of the product according to the plurality of compartment failure information and the performance deterioration rate analysis.

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Clifton Park, NY, United States of America

James Kenneth Aragones