1. 南京航空航天大学自动化学院
2. 南京航空航天大学高新技术研究院
纸质出版:2013
移动端阅览
[1]黄帅,刘海颖,华冰.五传感器配置的MW-GLRT故障检测算法[J].传感器与微系统,2013,32(10):121-125.
HUANG Shuai, LIU Hai-ying, HUA Bing. MW-GLRT fault detection algorithm based on five-sensor configuration[J]. 2013, 32(10): 121-125.
[1]黄帅,刘海颖,华冰.五传感器配置的MW-GLRT故障检测算法[J].传感器与微系统,2013,32(10):121-125. DOI: 10.13873/j.1000-97872013.10.044.
HUANG Shuai, LIU Hai-ying, HUA Bing. MW-GLRT fault detection algorithm based on five-sensor configuration[J]. 2013, 32(10): 121-125. DOI: 10.13873/j.1000-97872013.10.044.
针对多传感器的冗余配置的导航组件故障检测问题
广义似然比检测(GLRT)法是一种有效的方法。但该方法对于特征向量的提取不够精确
在故障检测中经常会出现误警和漏检的现象
并且随着采样时间的累积
样本奇偶向量对故障的敏感程度下降。针对五传感器配置系统
采用了移动窗口GLRT(MW-GLRT)方法
并结合信息贡献率法
解决了一般GLRT方法的算法缺陷。分别用阶跃故障和斜坡故障2种模式
对算法进行了仿真验证
结果表明:改进的MW-GLRT方法相比一般GLRT方法性能得到很大提高。
Aiming at problem of fault detection of navigation components of multi-sensors redundant configuration
generalized likelihood ratio test(GLRT) is an effective fault detection method.However
as its extraction on feature vector is not so accurate
false alarm and missing often occur in fault diagnosis
and with accumulation of sampling time
sensitivity of the parity vector of sample to fault becomes weak.Aiming at fivesensor configuration system
use moving window-GLRT(MW-GLRT) method
combine with information contribution rate method to overcome the shortcoming of GLRT method.Step fault and slope fault are used
and simulation verification is carried out.The simulation results show that the detection performance is greatly improved by using this method.
基于信息增量矩阵的故障诊断方法 [J]. 文成林,胡玉成. 自动化学报 . 2012(05)
基于可靠性分析的最优冗余配置数量确定方法 [J]. 富立,王新玲,岳亚洲. 北京航空航天大学学报 . 2010(09)
多传感器故障检测与隔离算法 [J]. 侯彦东,陈志国,汤天浩. 化工学报 . 2010(08)
一种基于MIMU的九陀螺冗余配置 [J]. 李雪莲,孙尧,莫宏伟,姚成凯. 哈尔滨工业大学学报 . 2009(05)
基于奇异值分解的冗余惯导系统故障诊断 [J]. 贾鹏,张洪钺. 宇航学报 . 2006(05)
Experimental evaluation of fault diagnosis in a skew-configured UAV sensor system [J] . Seungho Yoon,Seungkeun Kim,Jonghee Bae,Youdan Kim,Eungtai Kim. Control Engineering Practice . 2010 (2)
0
浏览量
52
下载量
2
CSCD
关联资源
相关文章
相关作者
相关机构