ISSN: 2168-9792
+44-77-2385-9429
Dao Lai Cheng
College of Urban Construction & Safety Engineering, Shanghai Institute of Technology,
Shanghai 201418
China
Research Article
Cockpit Voice Analysis and Diagnostic Based on Conditional Rules & Fault Tree Analysis
Author(s): Lin Zhang JI,Dao Lai Cheng*,Chui Jie YI,Hong Yu Yao
Lin Zhang JI,Dao Lai Cheng*,Chui Jie YI,Hong Yu Yao
The characteristics of cockpit voices (sounds) recorded by Cockpit Voice Recorder (CVR) are key evidences in investigating accident causes for wrecked airplane. In order to analyzing and diagnosing wrecked airplane causes through cockpit voices in CVR, some researchers are made as followings in this paper: Firstly, some typical background sounds of cockpit voices, such as wind shear audio, near-earth audio warning, take-off form of audio warning, fire alarm and so on, are obtained and classified through listening and distinguishing by adobe audition audio software in laboratory. Then, the characteristics of these background sounds are extracted by signal analyses methods such as Fourier Transform (FT), Wavelet Transform (WT), and so on. Through these methods, the special characteristics are depurated, such as frequency value, spectral density, and frequency line numbers. Thirdly, as t.. View More»
DOI:
10.4172/2168-9792.1000104