<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the process of civil aviation safety production, countries and organizations have unified the establishment of a mandatory accident reporting system. In addition, in order to prevent aviation accidents and accident symptoms to the maximum extent, and to obtain as detailed information as possible in the first time when accidents, accident symptoms and other civil aviation unsafe incidents occur, Countries and organizations should also establish a non-punitive voluntary aviation incident reporting system to complement this. NASA in the 1970s began to establish the aviation voluntary reporting system, the system ASRS later became the world’s first implementation of the aviation safety voluntary reporting system. This paper is a comprehensive study on the voluntary reporting system for civil aviation safety. By using data mining technology, the 6W structured expression model of aviation safety accident report is established on the basis of ASRS system for aviation safety accident report, and the information of different dimensions and different data structures is studied completely and systematically. According to the data types in the 6W structured representation model, two data mining methods of multi-dimension analysis and text classification are selected.</p>
</abstract>

In the process of civil aviation safety production, countries and organizations have unified the establishment of a mandatory accident reporting system. In addition, in order to prevent aviation accidents and accident symptoms to the maximum extent, and to obtain as detailed information as possible in the first time when accidents, accident symptoms and other civil aviation unsafe incidents occur, Countries and organizations should also establish a non-punitive voluntary aviation incident reporting system to complement this. NASA in the 1970s began to establish the aviation voluntary reporting system, the system ASRS later became the world’s first implementation of the aviation safety voluntary reporting system. This paper is a comprehensive study on the voluntary reporting system for civil aviation safety. By using data mining technology, the 6W structured expression model of aviation safety accident report is established on the basis of ASRS system for aviation safety accident report, and the information of different dimensions and different data structures is studied completely and systematically. According to the data types in the 6W structured representation model, two data mining methods of multi-dimension analysis and text classification are selected.

Research on Civil Aviation Passenger Transportation Accident Symptoms Based on Deep Learning

Civil Aviation Flight University of China

CAAC Academy, Civil Aviation Flight University of China

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the process of civil aviation safety production, countries and organizations have unified the establishment of a mandatory accident reporting system. In...

Research on Civil Aviation Passenger Transportation Accident Symptoms Based on Deep Learning

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 18. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0853

Schlüsselwörter
Civil aviation safety, Accident, Data mining, Deep learning

© 2024 Zhousheng Huang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Civil Aviation Passenger Transportation Accident Symptoms Based on Deep Learning

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 18. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0853

SchlüsselwörterCivil aviation safety, Accident, Data mining, Deep learning

© 2024 Zhousheng Huang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Civil aviation safety, Accident, Data mining, Deep learning