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运载火箭漏电故障诊断研究
引用本文:黄勇,黄席樾,马轶男,许翔宇,赵勇. 运载火箭漏电故障诊断研究[J]. 佳木斯工学院学报, 2010, 0(2): 161-164
作者姓名:黄勇  黄席樾  马轶男  许翔宇  赵勇
作者单位:重庆大学自动化学院,重庆400044
基金项目:国家自然科学基金项目(60443006).
摘    要:利用拓扑图建立漏电故障诊断图论模型,用图中的点和边分别代表部件以及部件之间的故障传播关系,从而将系统模型化为图,实现电路漏电故障的可测性;引入信息熵,对电路故障状态的不确定性进行了定量描述;在此基础上,依据节点提供的故障信息量大小,进行对半查找,实现故障部件定位,将它们应用于运载火箭控制系统,获得了令人满意的效果.

关 键 词:故障诊断  图论模型  信息熵  对半查找

Research on Electrical Leakage Diagnosis for Launch Vehicle
HUANG Yong,HUANG Xi-yue,MA Yi-nan,XU Xiang-yu,ZHAO Yong. Research on Electrical Leakage Diagnosis for Launch Vehicle[J]. , 2010, 0(2): 161-164
Authors:HUANG Yong  HUANG Xi-yue  MA Yi-nan  XU Xiang-yu  ZHAO Yong
Affiliation:(Automation College, Chongqing University, Chongqlng 400030, China)
Abstract:This paper established the graph theory model for the fault diagnosis of electrical leakage with topological graph. In the graph theory model, the points of graph stand for parts, and the edges stand for the relationship between the failure propagations. This paper realized system modeling and measurability of the electrical leakage. The uncertainty of circuit fault stat was described quantificationally. Based on these means, according to the size of failure information from node, the position of fault components was located by binary search. Applying them to some type of launch vehicle, some acceptable effects were acquired.
Keywords:fault diagnosis  graph theory model  information entropy  binary search
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