Sequential deep learning from NTSB reports for aviation safety prognosis

X Zhang, P Srinivasan, S Mahadevan - Safety science, 2021 - Elsevier
In this paper, we apply a set of data-mining and sequential deep learning techniques to
accident investigation reports published by the National Transportation Safety Board (NTSB) …

Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning

TG Puranik, N Rodriguez, DN Mavris - Transportation Research Part C …, 2020 - Elsevier
In recent years, due to the increased availability of data and improvements in computing
power, application of machine learning techniques to various aviation safety problems for …

A state-based approach to modeling general aviation accidents

AH Rao, K Marais - Reliability Engineering & System Safety, 2020 - Elsevier
This paper develops a state-based accident model that we apply to General Aviation (GA)
accidents recorded in the National Transportation Safety Board (NTSB) accident database …

Deep-learning based time series forecasting of go-around incidents in the national airspace system

SV Subramanian, AH Rao - 2018 AIAA Modeling and Simulation …, 2018 - arc.aiaa.org
To safely increase National Airspace System (NAS) operations through NextGen, there is a
need to modernize Air Transportation Management (ATM) system. NextGen technologies …

Analysis of General Aviation fixed-wing aircraft accidents involving inflight loss of control using a state-based approach

N Majumdar, K Marais, A Rao - Aviation, 2021 - jest.vgtu.lt
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing
aircraft accidents. The United States National Transportation Safety Board's database …

[PDF][PDF] Analyses of Incidents of Helicopter Guimbal Cabri G2: Analyses of Pilots

M Harridon - International Journal of Scientific and Research …, 2021 - academia.edu
The Helicopter Guimbal Cabri G2 is a helicopter that is usually used for training and
recreational activities. The Cabri G2 is agile and easy to handle. In this paper the author had …

High risk occurrence chains in helicopter accidents

AH Rao, K Marais - Reliability Engineering & System Safety, 2018 - Elsevier
We develop an approach to identify high-risk sequences of events (or occurrence chains) in
General Aviation (GA) accidents using historical accident data. We demonstrate our …

Epidemiology of helicopter accidents: Trends, rates, and covariates

JS Churchwell, KS Zhang, JH Saleh - Reliability Engineering & System …, 2018 - Elsevier
The objective of this work is to provide a better understanding of helicopter accidents and to
identify important areas for different stakeholders to focus their attention and resources for …

[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 …

[HTML][HTML] Examining the most accident-prone sector within commercial aviation: Why do accidents with light inland helicopters occur, and how can we improve safety?

TO Nævestad, RJ Bye, S Antonsen, SH Berge… - Safety science, 2021 - Elsevier
Light inland helicopter has for several years been the most accident-prone sector within
commercial aviation, with a more than 10 times higher accident risk than offshore …