An application of dbscan clustering for flight anomaly detection during the approach phase
K Sheridan, TG Puranik, E Mangortey… - AIAA Scitech 2020 …, 2020 - arc.aiaa.org
Safety is of paramount importance in aviation due to the catastrophic consequences of
accidents. Consequently, efforts have been made over the years to research and improve …
accidents. Consequently, efforts have been made over the years to research and improve …
Anomaly detection in general-aviation operations using energy metrics and flight-data records
TG Puranik, DN Mavris - Journal of Aerospace Information Systems, 2018 - arc.aiaa.org
Among the 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 …
objectives is to improve safety across all flight regimes. Flight-data-monitoring or flight …
Application of machine learning techniques to parameter selection for flight risk identification
E Mangortey, D Monteiro, J Ackley, Z Gao… - AIAA scitech 2020 …, 2020 - arc.aiaa.org
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 …
incident and accident investigation, and fault detection has gained traction among the …
Identification of instantaneous anomalies in general aviation operations using energy metrics
TG Puranik, DN Mavris - Journal of Aerospace Information Systems, 2020 - arc.aiaa.org
The quantification and improvement of safety is one of the most important objectives among
the general aviation community. In recent years, machine learning techniques have …
the general aviation community. In recent years, machine learning techniques have …
A supervised learning approach for safety event precursor identification in commercial aviation
JL Ackley, TG Puranik, D Mavris - AIAA Aviation 2020 Forum, 2020 - arc.aiaa.org
Growth in the aviation industry coupled with advancements in technology and data science
techniques have led commercial airlines to more data-driven analysis for both operational …
techniques have led commercial airlines to more data-driven analysis for both operational …
Approach and Landing Energy Prediction Based on a Long Short-Term Memory Model
The statistical analysis of civil aircraft accidents reveals that the highest incidence of
mishaps occurs during the approach and landing stages. Predominantly, these accidents …
mishaps occurs during the approach and landing stages. Predominantly, these accidents …
Aircraft performance model calibration and validation for general aviation safety analysis
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 …
scenario, the performance models would show inherently good agreement with the true …
[PDF][PDF] A methodology for quantitative data-driven safety assessment for general aviation
TG Puranik - 2018 - researchgate.net
As my journey through graduate school draws to a close, I would like to acknowledge all
those who made this a great experience. First of all I would like to thank my adviser Prof …
those who made this a great experience. First of all I would like to thank my adviser Prof …
Retrospective analysis of approach stability in general aviation operations
AH Rao, TG Puranik - 2018 Aviation Technology, Integration, and …, 2018 - arc.aiaa.org
Unstabilized approaches are among the top factors for accidents and major incidents in
commercial and General Aviation (GA) operations. A stable approach requires a methodical …
commercial and General Aviation (GA) operations. A stable approach requires a methodical …
A new approach to modeling aviation accidents
AH Rao - 2016 - search.proquest.com
General Aviation (GA) is a catchall term for all aircraft operations in the US that are not
categorized as commercial operations or military flights. GA aircraft account for almost 97 …
categorized as commercial operations or military flights. GA aircraft account for almost 97 …