模糊贝叶斯网络融合多传感器故障信息可靠性方法  

Fuzzy Bayesian network based method to fuse fault information from various sensors and improve reliability of fault information

作　　者：陈淑鑫[1,2] 李敬有[1] 张凌宇[1] CHEN Shuxin;LI Jingyou;ZHANG Lingyu(Modern Education & Technology Center,Qiqihar University,Qiqihar 161006,China;College of Science,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]齐齐哈尔大学现代教育技术中心,黑龙江齐齐哈尔161006 [2]哈尔滨工程大学理学院,黑龙江哈尔滨150001

出　　处：《现代电子技术》2016年第14期15-19,共5页Modern Electronics Technique

基　　金：黑龙江省自然科学基金资助项目:本体贝叶斯网络优化混合调度智能控制研究(F201334;F201336);黑龙江省教育厅科研项目:本体信息簇聚类算法优化智能故障检测研究(12541868);齐齐哈尔大学青年教师科研启动项目(2012k-M12)

摘　　要：传感器作为测量被控系统输出信号的主要装置,从多类型传感器的故障数据中提取有价值信息,综合不同传感器数据,整合同类型的数据,融合信息优化数据结果,以便准确获得有效信息。在此运用贝叶斯网络的条件概率描述了模糊信息,分析并提出模糊贝叶斯网络多传感系统,建立可靠性模型,该方法应用到飞行器不确定分析过程来处理多传感器模糊故障信息,实验证明可提升系统的分析效率。The sensor fuse system is the main unit to detect the output signal from the controlled system,extract valuableinformation from the fault data obtained by multi?type sensors,combine different sensors’data,integrate the same?type data,and fuse the results of optimized information data,so as to get the effective information accurately. The method to build the reli?ability model in the multi?sensor system of fuzzy Bayesian network is analyzed and proposed. The conditional probabilities ofBayesian network is used to describe fuzzy information. The method has been applied to the aircraft multi?sensor fault informationprocessing and uncertainty analysis process based on Bayesian network to improve the efficiency of system reliability analysis.

关 键 词：多传感系统 模糊理论 贝叶斯网络模型 特征信息 

分 类 号：TN926.34[电子电信—通信与信息系统] TP732[电子电信—信息与通信工程]