Research on Landing Vertical Acceleration Warning Mechanism based on Outlier Detection

Abstract

Flight Operational Quality Assurance (FOQA) is one of the effective means of civil aviation warning and safety management. In the process of data analysis, whether it is correct outliers or wrong outliers will have an impact on the analysis results, in particular, it is necessary to eliminate the adverse effects of wrong outliers on the analysis results. The research focus of this paper is how to use the outlier detection method to achieve civil aviation warning. It mainly includes the following five parts: The first part mainly explains the related concepts and research status of civil aviation warning, and the data set used in this article, paves the way for the subsequent content; the second and third parts are the main parts of this article, mainly around “ The standard deviation method and the quartile method are discussed, and the characteristics and applicable data set types of these two methods are discussed. The fourth part is the numerical experiment part, which demonstrates the shortcomings of the current civil aviation warning and the “quartile” from the numerical results. The superiority of“bit method” in civil aviation warning; the fifth part is the summary of this article and the prospect for the future.