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Advances in Computer and Communication

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Article Open Access http://dx.doi.org/10.26855/acc.2023.06.017

Aviation Safety QAR Data Mining and Statistical Analysis

Yu Zhan, Junchao Zhang, Cailian Luo, Li Hu, Yulu Song*

Guilin University of Technology at Nanning, Guangxi, China.

*Corresponding author: Yulu Song

Published: July 24,2023

Abstract

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 airlines, but also pose a great threat to the life safety of passengers. Therefore, we need to pay close attention to flight safety. Firstly, the pre-analysis is carried out, and it is found that the quantity directly related to the aircraft manoeuvring is the disc quantity and the rod quantity, which correspond to roll manoeuvring and pitch manoeuvring respectively. After that, cluster analysis and graph neural network model introduced attention mechanism were used to train the data, and it was concluded that the most important operational factors affecting the flight of aircraft were rod size and attitude. According to the model, the reason for the heavy landing is traced back: "It is because of the incorrect loose rod that the rod size and attitude are abnormal, which makes the G-value curve of the landing significantly convex". Finally, the advantages and disadvantages of the model are evaluated and the sensitivity is analyzed. The model established in this paper can be extended to evaluate the stability of social and economic operation.

References

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How to cite this paper

Aviation Safety QAR Data Mining and Statistical Analysis

How to cite this paper: Yu Zhan, Junchao Zhang, Cailian Luo, Li Hu, Yulu Song. (2023) Aviation Safety QAR Data Mining and Statistical Analysis. Advances in Computer and Communication4(3), 191-195.

DOI: http://dx.doi.org/10.26855/acc.2023.06.017