Using Deep Learning Approach in Flight Exceedance Event Analysis

[1]  Jürgen Schmidhuber,et al.  Framewise phoneme classification with bidirectional LSTM and other neural network architectures , 2005, Neural Networks.

[2]  Ashok N. Srivastava,et al.  Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations , 2015, J. Aerosp. Inf. Syst..

[3]  Ahmet Çakir.  Human performance on the flight deck , 2012, Behav. Inf. Technol..

[4]  LITERATURE REVIEW OF MACHINE LEARNING TECHNIQUES TO ANALYSE FLIGHT DATA , 2018 .

[5]  David J. Barry,et al.  Using machine learning methods in airline flight data monitoring to generate new operational safety knowledge from existing data , 2019, Safety Science.

[6]  David Harris.  Human Performance on the Flight Deck , 2011 .

[7]  Tao Mei,et al.  Boosting Image Captioning with Attributes , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

[8]  Xiangang Li,et al.  Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition , 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[9]  Danny Benbassat,et al.  General Aviation Landing Flare Instructions , 2002 .

[10]  Charles I. Abramson,et al.  Comparative Approach to Pilot Error and Effective Landing Flare Instructions , 2002, International Journal of Comparative Psychology.

[11]  Hui Sun,et al.  A Method of Applying Flight Data to Evaluate Landing Operation Performance , 2019, Ergonomics.

[12]  Charles I. Abramson,et al.  Landing Flare Accident Reports and Pilot Perception Analysis , 2002 .

[13]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[14]  Yoshua Bengio,et al.  Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .

[15]  Changxu Wu,et al.  An analysis of flight Quick Access Recorder (QAR) data and its applications in preventing landing incidents , 2014, Reliab. Eng. Syst. Saf..

[16]  Geoffrey E. Hinton,et al.  Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[17]  Don Harris,et al.  Combining control input with flight path data to evaluate pilot performance in transport aircraft. , 2008, Aviation, space, and environmental medicine.

[18]  Marlon Dumas,et al.  Predictive Business Process Monitoring with LSTM Neural Networks , 2016, CAiSE.

[19]  Kuldip K. Paliwal,et al.  Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..

[20]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[21]  Lance Sherry,et al.  Anomaly detection in aircraft data using Recurrent Neural Networks (RNN) , 2016, 2016 Integrated Communications Navigation and Surveillance (ICNS).

[22]  PadmanabanS,et al.  Enhancing Flight Data Monitoring and Analysis can Increase Flight Safety , 2015 .

[23]  Oriol Vinyals,et al.  Bayesian Recurrent Neural Networks , 2017, ArXiv.

[24]  Razvan Pascanu,et al.  On the difficulty of training recurrent neural networks , 2012, ICML.

[25]  Daniela Fischer,et al.  Digital Design And Computer Architecture , 2016 .