基于信息融合的飞机舱音声信号分析与故障诊断  

Analyses and Fault Diagnoses of Aircraft Cockpit Sound Signals Based on Information Amalgamation

作　　者：贾玉琛 程道来 纪林章 姚红宇[3] 仪垂杰 JIA Yuchen;CHENG Daolai;JI Linzhang;YAO Hongyu;YI Chuijie(School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai 201418, China;Institute of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;China Academy of Civil Aviation Science and Technology, Beijing 100028, China;Qingdao Technological University, Qingdao 266033, Shandong China)

机构地区：[1]上海应用技术大学机械工程学院,上海201418 [2]上海理工大学能源与动力工程学院,上海200093 [3]国家民航总局中国民航科学技术研究院,北京100028 [4]青岛理工大学,山东青岛266033

出　　处：《噪声与振动控制》2018年第A02期648-652,共5页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(61071203)

摘　　要：飞机黑匣子中舱音记录器记录的舱音声信息是分析、诊断飞行事故原因的关键依据之一。以多个典型舱音样本为例,在阐述信息融合原理基础上,构建信息融合三个层次模型,建立典型舱音特征库。开展基于产生式规则的信息融合的飞机舱音声信号的分析与故障,依据舱音二进制诊断树,得到分析诊断结果,为准确掌握飞行事故原因、分析诊断飞行事故、保障航空飞行安全具有一定借鉴作用。Aircraft cockpit sound signals recorded by aircraft black boxes are the key proof to analyze and diagnose the aircraft flight faults. In this paper, information amalgamation principle was described and a three-layer information amalgamation model was constructed. Then, with several typical cockpit sound signals as the samples, their characteristics warehouse was set up. The new analyses and diagnoses methods for cockpit sound signals were put forward according to the production rules and the information amalgamation principle. Finally, binary system diagnoses trees on cockpit sound signals were formed. Some analyses and diagnoses results were obtained. The research results are helpful to the cause analyses and fault diagnoses of wreckage aircrafts.

关 键 词：声学 飞机 信息融合 产生式规则 舱音 故障诊断 

分 类 号：U8[交通运输工程] TK9[动力工程及工程热物理]