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Integrated Sizing and Multi-objective Optimization of Aircraft and Subsystem Architectures in Early Design
(Georgia Institute of Technology, 2017-06)
The aerospace industry's current trend towards novel or More Electric architectures results in some unique challenges for designers due to both a scarcity or absence of historical data and a potentially large combinatorial ...
Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows
(Georgia Institute of Technology, 2020-01)
Deep Gaussian process (DGP) models are multi-layered hierarchical generalizations of the well-known Gaussian process (GP) models widely used to construct surrogate models of aerodynamic quantities of interest. Combining ...
Classification, Analysis, and Prediction of the Daily Operations of Airports Using Machine Learning
(Georgia Institute of Technology, 2020-01)
The Federal Aviation Administration (FAA) is the regulatory body in the United States responsible
for the advancement, safety, and regulation of civil aviation. The FAA also oversees
the development of the air traffic ...
Anomaly Detection in General Aviation Operations Using Energy Metrics and Flight Data Records
(Georgia Institute of Technology, 2017)
Among operations in the General Aviation community, one of the most important objectives is to improve safety across all flight regimes. Flight data monitoring or Flight Operations Quality Assurance programs have percolated ...
Application of Machine Learning to the Analysis and Prediction of the Coincidence of Ground Delay Programs and Ground Stop
(Georgia Institute of Technology, 2020-01)
Traffic Management Initiatives such as Ground Delay Programs and Ground Stops are
implemented by traffic management personnel to control air traffic volume to constrained
airports when traffic demand is projected to ...
Application of Machine Learning Techniques to Parameter Selection for Flight Risk Identification
(Georgia Institute of Technology, 2020-01)
In recent years, the use of data mining and machine learning techniques for safety analysis,
incident and accident investigation, and fault detection has gained traction among the aviation
community. Flight data collected ...
Aircraft Performance Model Calibration and Validation for General Aviation Safety Analysis
(2020-03)
Performance models facilitate a wide range of safety analyses in aviation. In an ideal scenario, the performance models would show inherently good agreement with the true performance of the aircraft. However, in reality, ...
A Framework for General Aviation Aircraft Performance Model Calibration and Validation
(Georgia Institute of Technology, 2018-06)
A wide range of aircraft performance and safety analyses are greatly facilitated by the development and availability of reliable and accurate aircraft performance models. In an ideal scenario, the performance models would ...
Predicting The Occurrence of Weather And Volume Related Ground Delay Program
(Georgia Institute of Technology, 2019-06)
Traffic Management Initiatives (TMI) such as Ground Delay Programs (GDP) are instituted by traffic management personnel to address and reduce the impacts of constraints in the National Airspace System. Ground Delay Programs ...
Identifying Instantaneous Anomalies in General Aviation Operations
(Georgia Institute of Technology, 2017-06)
Quantification and improvement of safety is one of the most important objectives among the General Aviation community. In recent years, data mining techniques are emerging as an important enabler in the aviation safety ...