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.

这篇研究论文强调了飞行安全在中国民航业的重要性，并强调了全面研究的必要性。研究主要集中在分析超限事件和统计评估非超限数据两个方面。当前方法的挑战在于对超限事件不足的原因分析。提出的解决方案涉及数据预处理、可靠性评估、用神经网络量化飞行控制、探索性数据分析、利用机器学习评估飞行人员技能以及建立实时自动警告。这些努力旨在提高飞行安全、人员评估和警告机制，为更安全、更高效的民航业做出贡献。

航空安全风险分析与飞行技术评估问题