摘要
某新型舰空导弹在装舰前的技术准备中需要进行全弹联调测试,并实现故障检测和排除,确保导弹电路系统的连通性,提出一种基于多传感器融合跟踪识别和关联谱特征提取的导弹联调测试故障检测技术。采用传感器阵列进行舰空导弹的全弹连通性电路输出信号采集,对采集的信号采用谱分析和关联规则特征提取方法进行故障特征提取,对导弹联调测试信号进行频谱分解和模糊决策,采用谱特征提取方法进行舰空导弹联调测试系统传输信息的关联属性特征挖掘,根据关联属性分布的差异性进行故障类别判断,实现对舰空导弹联调测试故障的准确检测和识别,进行舰空导弹联调测试故障检测系统的在硬件设计,主要对故障检测系统的AD模块、程序加载模块、人机交互模块等进行硬件开发。仿真测试结果表明,采用该方法进行新型舰空导弹联调测试故障检测的故障诊断性能较好,对故障特征的分辨能力较强,提高了导弹转级技术准备过程中的联调测试的故障检测效率。
During the technical preparation of a newship-to-air missile before loading,it is necessary to carry out the test of allbomb connection,and to realize the fault detection and elimination,so as to ensure the connectivity of the missile circuit system.Based on multi-sensor fusion tracking recognition and correlation spectrum feature extraction,a fault detection technique for missile joint test is proposed. The sensor array is used to collect the output signal of ship-to-air missile＇s full projectile connectivity circuit.The spectrum analysis and association rule feature extraction are used to extract the fault feature,and the spectrum decomposition and fuzzy decision are applied to the missile test signal. The spectral feature extraction method is used to mine the associated attribute features of the transmission information of the ship-to-air missile joint test system,and the fault category is judged according to the difference of the distribution of the associated attributes. To realize the accurate detection and identification of ship-to-air missile joint test fault,the hardware design of ship-to-air missile joint test fault detection system is carried out,mainly including the AD module of the fault detection system and the program loading module. Human-machine interaction module is also developed in hardware. The simulation results showthat the fault diagnosis ability of this method is good and the ability to distinguish fault features is better. The fault detection efficiency of the joint test during the preparation of the missile stage conversion technology is improved.
作者
周松良
涂金鑫
ZHOU Songliang;TU Jinxin(No.91640 Troops of PLA,Zhanjiang Guangdong 524064,China)
出处
《智能计算机与应用》
2018年第5期8-12,共5页
Intelligent Computer and Applications
关键词
舰空导弹
联调测试
故障检测
ship-to-air missile
joint test
fault detection
