Text mining of accident reports using semi-supervised keyword extraction and topic modeling

A Ahadh, GV Binish, R Srinivasan - Process safety and environmental …, 2021 - Elsevier
Learning from past incidents is critical to achieving and maintaining high process safety
performance. Accident and incident records provide one way for learning; however, these …

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 …

Study on machine learning methods for general aviation flight phase identification

N Fala, G Georgalis, N Arzamani - Journal of Aerospace Information …, 2023 - arc.aiaa.org
Accurate identification of phases of flight is an essential step in analyses such as airport
operation counts, fuel burn estimation, and safety studies. Past research has focused …

Visualising flight regimes using self-organising maps

O Bektas - The Aeronautical Journal, 2023 - cambridge.org
The purpose of this paper is to group the flight data phases based on the sensor readings
that are most distinctive and to create a representation of the higher-dimensional input …

Phases of flight identification for rotorcraft operations

HJ Chin, A Payan, C Johnson, DN Mavris - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
TUDIES of rotorcraft accidents have shown that both the total number of accidents and the
number of fatal accidents per flight hour are exceedingly larger than those for fixed-wing …

How the black hole illusion environment affects operational performance at different flight phases in aviation

L Huang, Y Hou, Y Chen, X You, RW Proctor… - Applied Ergonomics, 2023 - Elsevier
The black hole illusion (BHI) is a subtype of spatial disorientation that can result in fatal
consequences in aviation. Research on the BHI has generally focused on altitude deviation …

Airborne sensor data-based unsupervised recursive identification for UAV flight phases

B Wang, X Peng, D Liu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
With the widespread application of Unmanned Aerial Vehicle (UAV), more and more
attention has been paid to the analysis of flight data, which can realize the condition …

A flight phase identification method based on airborne data of civil aircraft

W Bing, Z Ying, XIE Hua, LI Jie - 交通运输工程学报, 2022 - transport.chd.edu.cn
To resolve the flight phase identification errors in the airborne quick access recorder (QAR)
trajectory data of civil aircraft, a method of flight phase re-identification was proposed based …

[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 …

Which aircraft has a better fuel efficiency?–a case study in china

YQ Gao, TQ Tang, J Zhang, F You - Transportmetrica B: Transport …, 2022 - Taylor & Francis
Different aircraft have different load capacity and fuel consumption. Understanding which
aircraft has better fuel efficiency is meaningful for energy conservation and reducing …