Development and Application of Flight Parameter Data Analysis Based on Multi-text Timescale Alignment

Abstract

Flight parameter data plays a crucial role in comprehensively capturing the operational characteristics of various aircraft components and recording essential flight status information. This data holds significant value and finds extensive application in the domains of aircraft repair, maintenance, support, troubleshooting, and system optimization. However, due to the vast number of parameters present in flight record bus data and the generation of massive datasets at the gigabyte level, direct extraction becomes challenging. Therefore, it is necessary to filter the flight parameter data to enable efficient utilization for targeted problem analysis. This paper proposes an auxiliary method for analyzing flight parameter data using multi-text clustering and multi-timescale alignment. Additionally, an automated tool is designed and developed to address the complexities of synchronizing and concatenating parameters across multiple data buses, facilitating the effective extraction of flight parameter data and unlocking its true value.