民机驾驶舱舱音小波包分析及特征提取.pdfVIP

∗ 民机驾驶舱舱音小波包分析及特征提取 1 2 2 1 郭超 ，姚红宇 ，舒平 ，陈果 （1. 南京航空航天大学 民航学院，江苏 南京 210016） （2. 中国民用航空安全技术中心，北京 100028） The Wavelet Analysis and Feature Extraction for Sound in Civil Aircraft Cockpit Guo Chao.1） Yao Hong-yu. 2 ） Shu ping. 2 ） Chen Guo. 1 ） ( 1) College of Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016 2) Center of Aviation Safty Technology of Civil Aviation Administration of China, 100028) 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。 关键词：民用飞机；事故调查；舱音分析；小波分析；特征提取 中图分类号：V 文献标识码：A 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. Key words: Civil Aircraft ；Accident Investigation ；Cockpit Sound Analysis ； Wavelet Analysis ；Feature Extraction 飞机一旦出现事故或事故征候，黑匣子就成了事故调查极为关键的信息介质。黑匣子由飞行记 录器（FDR ：Flight Data Recorder ）和驾驶舱