English

Aviation Safety Risk Analysis and Flight Technology Assessment Issues

Computers and Society 2023-09-25 v1 Machine Learning Systems and Control Systems and Control

Abstract

This text highlights the significance of flight safety in China's civil aviation industry and emphasizes the need for comprehensive research. It focuses on two main areas: analyzing exceedance events and statistically evaluating non-exceedance data. The challenges of current approaches lie in insufficient cause analysis for exceedances. The proposed solutions involve data preprocessing, reliability assessment, quantifying flight control using neural networks, exploratory data analysis, flight personnel skill evaluation with machine learning, and establishing real-time automated warnings. These endeavors aim to enhance flight safety, personnel assessment, and warning mechanisms, contributing to a safer and more efficient civil aviation sector.

Keywords

Cite

@article{arxiv.2309.12324,
  title  = {Aviation Safety Risk Analysis and Flight Technology Assessment Issues},
  author = {Shuanghe Liu},
  journal= {arXiv preprint arXiv:2309.12324},
  year   = {2023}
}
R2 v1 2026-06-28T12:28:41.432Z