基于MSET和SPRT的导弹振动故障诊断  

Missile Vibration Fault Diagnosis Based on MSET and SPRT

作　　者：王皓[1] 赵晓蓓[1] 杨东升[2] 

机构地区：[1]西北工业大学航空学院,陕西西安710072 [2]西北工业大学航天学院,陕西西安710072

出　　处：《测控技术》2015年第3期59-62,共4页Measurement & Control Technology

摘　　要：提出了一种基于多元状态估计技术(MSET,multivariate state estimation techniques)和序贯概率比检验(SPRT,sequential probability ratio test)的导弹机构振动故障诊断方法。首先建立常规情况下导弹3处振动传感器所收集的振动信号的关联模型;然后根据导弹3处异常振动信号的当前观测测特征向量与各建模样本特征向量之间的相似性程度,使用MSET对当前异常信号特征向量进行估计,得到与异常信号特征向量相对应的估计残差;最后使用SPRT对异常信号的估计残差进行均值和方差检验,确定系统的工作状态。仿真结果表明,MSET可有效地增强故障状态下的信号特征呈现,而SPRT可在较少的周期内实现对弹体机构异常工作的识别,MSET和SPRT的结合有效地实现了对导弹机构异常工作的早期诊断。A kind of guided missile vibration fault diagnosis method is presented based on multivariate state es- timation techniques （MSET） and sequential probability ratio test （ SPRT）. First, the correlation model of vibra- tion signal collected from the three vibration sensors is built. Then, according to the similarity between the ob- servation feature vectors and modeling sample characteristics vectors, the fault signal eigenvectors are estimated by MSET, the estimation residuals of fault signal eigenvector are obtained. Finally, the mean and variance of the fault signals are verified by SPRT, and the operating status of the system is determined. Simulation results show that MSET can effectively enhance the signal characteristics of fault condition presented, while the identifica- tion of abnormal operation for missile institutions can be achieved in fewer cycles by SPRT. The combination of MSET and SPRT effectively achieves the early diagnosis of the abnormal operation for the missile institutions.

关 键 词：导弹 振动监测 多元状态估计技术 序贯概率比检验 

分 类 号：V19[航空宇航科学与技术—人机与环境工程]