摘 要:针对民航事故调查中的舱音背景声分析,利用小波包分析方法,对不同种类开关手柄声进行了三层分解,提取了不同开关手柄声的各频带归一化能量特征用于对开关手柄进行识别。最后,以B737客机的常用开关手柄的声音为研究对象,采集了大量舱音信号,利用该方法,对舱音信号进行了分析识别,并对结果进行统计验证。
Abstract: For the aircraft cockpit background sound analysis in civil aviation accident investigation, the wavelet packet analysis method is used to carry out the time-frequency analysis of the different types of switches’ sounds, and extract the bands normalization energy characteristics which can be applied to identify various types of switches sounds. Finally, the typical switches sounds for the B737 aircraft are acted as the research objects, and a number of samples coming from various types of switches sounds are collected from experiments. The sounds samples are analyzed and the energy features are extracted and the results are statistically verified which are fully show the validity of this method.