一种基于小波分析的控制系统BIT自诊断方法研究  

A Method of BIT Self-diagnosis on Control System Based on the Wavelet Analysis

作　　者：蔡远文[1] 同江[1] 伯伟[2] 

机构地区：[1]装备指挥技术学院,北京101416 [2]中国人民解放军63798部队,四川西昌615606

出　　处：《航天控制》2010年第4期71-74,共4页Aerospace Control

基　　金：总装试验技术研究项目(2009SY4106002)

摘　　要：随着BIT技术的发展,将先进的故障诊断算法嵌入到BITE(Built-inTest Equipment)中已经成为BIT智能化的趋势。本文针对目前傅立叶分析法在大型运载火箭数据处理应用中的不足,结合小波分析方法在故障诊断方面的优势,提出了一种基于小波分析的控制系统BIT自诊断方法;以数字伺服机构为对象,构建了基于残差思想的小波诊断模型,并在Simulink环境下,对诊断结果进行了仿真;结果显示该方法能够对故障准确定位,效果良好。With the development of the BIT technology,the advanced fault diagnosis algorithm embedded into BITE has already become the developing trend of the intelligent BIT.Due to the disadvantage of the method of Fourier analysis adopted while dealing with the data on the large launch vehicles,a method of BIT self-diagnosis on control system is proposed by taking the advantage of the method of wavelet analysis in the aspect of fault diagnosis.By taking the servo mechanism as the research object,a wavelet diagnosis model based on subtracting is set up with the environment of Simulink.Simulation results show that the method has high accuracy of locating faults and effective performance in practice.

关 键 词：BIT 小波分析 伺服机构 故障诊断 MALLAT算法 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TP206.3[自动化与计算机技术—控制科学与工程]