多小波变换在导引头伺服机构信号降噪与缺陷识别中的应用研究  

Application Research on Multiwavelet Transforms for Signal Denoising and Defect Identification of Seeker Servo Mechanism

作　　者：王家鑫 周郁 袁静 周起华 

机构地区：[1]海军驻上海地区航天系统军事代表室,上海201109 [2]上海无线电设备研究所,上海200090

出　　处：《制导与引信》2013年第4期1-5,10,共6页Guidance & Fuze

摘　　要：为有效评估导引头伺服机构的运行状态,将多小波变换引入导引头伺服机构的动态信号降噪与潜在缺陷识别中。首先介绍多小波定义及其性质、离散多小波变换和多小波前处理等基础知识。其次采用SA4多小波对伺服机构振动信号进行降噪处理与特征提取,结合提纯轴向轨迹有效识别伺服机构俯仰通道的结构对中不良缺陷。试验分析结果显示了多小波变换在动态信号降噪与结构潜在缺陷识别中的可行性和优越性。To effectively evaluate the running performance of seeker servo mechanism, multiwavelet transforms are introduced into signal denoising and underlying defect identification of seeker servo mechanism. The basic information including the definition and properties of multiwavelets, discrete multiwavelet transforms and the preprocessing is firstly introduced. Then, SA4 multiwavelet are used to denoise and analyze the vibration signals of servo mechanism. Combined multiwavelets with the purified orbit diagram of shaft centre, the misalignment defect of pitch channel of servo mechanism is effectively identified. The analysis results show the feasibility and superiority of multiwavelet transforms in application for signal denoising and mechanism defect identification.

关 键 词：多小波 伺服机构 降噪 缺陷识别 

分 类 号：TH17[机械工程—机械制造及自动化]