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Deep spatio-temporal neural networks for risk prediction and decision support in aviation operations
The maintenance and improvement of safety are among the most critical concerns in civil
aviation operations. Due to the increased availability of data and improvements in …
aviation operations. Due to the increased availability of data and improvements in …
A deep sequence‐to‐sequence method for accurate long landing prediction based on flight data
In civil aviation industry, runway overrun is a typical landing safety incident concerned by
both airlines and authorities. Among various contributing factors to the runway overrun …
both airlines and authorities. Among various contributing factors to the runway overrun …
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks
Flight safety is a key issue in the aviation industry. Recently, with the prevalence of flight
data recording systems, some deep learning-based studies have been devoted to predicting …
data recording systems, some deep learning-based studies have been devoted to predicting …
A Runway Overrun Risk Assessment Model for Civil Aircraft Based on Quick Access Recorder Data
The quick access recorder (QAR), as an airborne device used to monitor and record flight
parameters, has been widely installed on various types of aircraft. Based on QAR data …
parameters, has been widely installed on various types of aircraft. Based on QAR data …
An Unsupervised Learning Approach for Analyzing Unsafe Pilot Operations Based on Flight Data
Flight safety is a hot topic in the aviation industry. Statistics show that safety incidents during
landing are closely related to the flare phase because this critical period requires extensive …
landing are closely related to the flare phase because this critical period requires extensive …
Aviation safety QAR data mining and statistical analysis
Y Zhan, J Zhang, C Luo, L Hu… - Advances in Computer and …, 2023 - hillpublisher.com
Flight safety is the fundamental guarantee for the survival and development of civil aviation
transport industry. Serious flight accidents will not only bring huge economic losses to …
transport industry. Serious flight accidents will not only bring huge economic losses to …
Flight data driven system identification using neural networks for landing safety assessment
Multiple studies and reports have identified threshold exceedance precursors that
significantly contribute to flight accidents. Reducing the occurrence of these precursors may …
significantly contribute to flight accidents. Reducing the occurrence of these precursors may …
Aircraft Braking Performance Classification Through Braking Rollout Clustering
The IATA safety report shows that runway excursions are the major cause of accidents when
organized by flight phase. Additionally, runway overrun of the available runway length is the …
organized by flight phase. Additionally, runway overrun of the available runway length is the …
Feature extraction of qar data via sequence-parameter attention based convolutional autoencoder model
Quick Access Recorder (QAR) data contains a large number of flight parameters used to
record flight information during flight, and is increasingly utilized to analyze and evaluate …
record flight information during flight, and is increasingly utilized to analyze and evaluate …
[PDF][PDF] Runway safety improvements through a data driven approach for risk flight prediction and simulation
H Lee - 2022 - core.ac.uk
To start, I would like to express my deepest gratitude to Jesus Christ, my Lord. Looking back,
He has always provided me with the strength I need to overcome all of the challenges during …
He has always provided me with the strength I need to overcome all of the challenges during …