Analysis of Cockpit Background Sounds Based on Cockpit Voice Decoding System Sensor, Time-Frequency and Fault Tree

摘要

In order to distinguish and diagnose aircraft accident through cockpit voices, especial the background sounds, three methods are systematically described and applied in this paper from actual cockpit voices recorded by Cockpit Voice Recorder (CVR). Firstly, using listening and distinguishing cockpit voices based on Cockpit Voice Decoding System (CVDS), some typical background sounds are obtained and classified. Then, some time-frequency analysis methods are used to extract the characteristics of these sounds. Through these methods, some typical background sounds' special characteristics about frequency value, spectral density, frequency line numbers are depurated. Thirdly, the fault trees methods of one main information fusion are obtained. The researches provide the scientific evidence to protect the flight security.