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火箭漏电故障诊断技术研究
引用本文:赵刚,黄大荣,黄席樾.火箭漏电故障诊断技术研究[J].兵工学报,2010,31(7):916-921.
作者姓名:赵刚  黄大荣  黄席樾
作者单位:重庆大学,自动化学院,重庆,400044;第二炮兵装备部驻重庆地区军事代表局,重庆,400039;重庆交通大学,信息科学与工程学院,重庆,400074;重庆大学,自动化学院,重庆,400044
基金项目:中国国家博士后科学基金,重庆市自然科学基金,重庆市教委科学技术研究项目,重庆交通大学博士启动基金,重庆交通大学研究生创新基金 
摘    要:基于集对分析理论和故障树的相关知识,研究了火箭(LV)测试及发射过程中的一类新的漏电故障诊断技术。在火箭漏电故障原因的各种可能组合方式构造火箭漏电故障树的基础上,引入中间状态概率的概念。基于集对分析联系数理论确立了漏电故障因素的重要度模型,对系统底事件和顶事件的失效概率进行分析,从而确立了火箭漏电故障诊断的新方法。该方法成功应用于火箭控制系统漏电故障诊断的工程实例表明:该方法能及时诊断火箭系统的漏电故障原因,采取合理的措施有效地排除故障,具有良好的更新能力和应用前景。

关 键 词:系统工程  故障诊断  故障树  集对分析联系数  中介概率  重要度

Research on the Leak Current Fault Diagnostic Technology for Launch Vehicle
ZHAO Gang,HUANG Da-rong,HUANG Xi-yue.Research on the Leak Current Fault Diagnostic Technology for Launch Vehicle[J].Acta Armamentarii,2010,31(7):916-921.
Authors:ZHAO Gang  HUANG Da-rong  HUANG Xi-yue
Affiliation:(1.Colleage of Automation,Chongqing University,Chongqing 400074,China;2.Institute of Information Science and Engineering,3.Chongqing Agent of Second Artillery Corps,Chongqing 400039,China)
Abstract:A new leak current fault diagnosis method of Launch Vehicle (LV) was researched by combining connection number of set pair analysis and fault tree analysis(FTA). Every kind of factors, which could make the leak current fault of LV, was analyzed in detail. Then a fault tree model of LV leak current was constructed according to every possible combination way of these factors, which can impact on LV leak current fault. An attribute significance model of factor influencing leak current fault was presented, and a leak current fault diagnostic technology of LV was established by introducing the intermediate probability and the theory of connection number of set pair analysis. An example of LV leak current fault diagnosis was given to verify the reliability and effectiveness of the model. The simulation results show that the model was easy to find the weakness of system, so it has better updating capability and applied prospect.
Keywords:system engineering  fault diagnosis  fault tree  connection number of set pair analysis  intermediate probability  attribute significance  
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