火箭推进

基于声信号的故障检测可以通过非接触式的传感器采集部件工作时的声音信号,经过处理,声信号可以有效的表征部件的工作状态,进而实现故障检测。随着声信号在设备故障检测方面的应用日益成熟,声信号开始用于对火箭的发动机和其他部件的故障检测,并已经取得了一些研究成果。概述了基于声学信号的故障检测的一般方法过程,分析了基于声信号的故障检测方法在运载火箭健康状态监控领域的应用现状,最后对该领域未来的发展进行了展望。

The fault detection based on acoustic signal can collect the sound signal of working components through the non-contact sensor.Through the signal acquisition and signal processing,the acoustic signal can effectively characterize the working status of components,and then realize the fault detection.With the continuous development of acoustic signals in equipment fault detection and diagnosis,the acoustic signal has begun to be used for rocket fault detection to detect the state of rocket engines and other components,and some research results have been achieved.This paper summarizes the general method of fault detection based on acoustic signal,analyzes the application status of fault detection method based on acoustic signal in the field of launch vehicle health monitoring,reviews the related technologies of fault detection method based on acoustic signal in the field of rocket health monitoring,and finally looks forward to the main development trend.

引言
1 技术层面
2 应用层面
3 讨论与展望

图1 声信号故障检测系统<br/>Fig.1 Acoustic signal fault detection system

图1 声信号故障检测系统
Fig.1 Acoustic signal fault detection system

图2 NASA早期声学测试比例模型<br/>Fig.2 Scale model of NASA early acoustic test

图2 NASA早期声学测试比例模型
Fig.2 Scale model of NASA early acoustic test

图3 NASN麦克风相阵<br/>Fig.3 NASA microphone array

图3 NASN麦克风相阵
Fig.3 NASA microphone array

图4 PAVE程序框架<br/>Fig.4 PAVE program framework

图4 PAVE程序框架
Fig.4 PAVE program framework

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备注

引言

1 技术层面

2 应用层面

3 讨论与展望

期刊信息