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机构地区:[1]哈尔滨工程大学自动化学院,哈尔滨150001
出 处:《机电设备》2011年第2期1-4,10,共5页Mechanical and Electrical Equipment
摘 要:简要介绍故障树分析的传统方法,建立了以无人水下航行器(Unmanned Underwater Vehicle,UUV)不能正常工作为顶事件的故障树.采用蒙特卡罗随机抽样方法,建立UUV的故障树仿真模型,编制了MATLAB故障树仿真程序,对故障树进行定量分析.求出该系统的平均无故障工作时间,并得出了UUV系统的寿命分布曲线、各基本部件的模式重要度和各基本部件的重要度.研究了故障树数字仿真的具体过程,并能够从仿真的运行过程中,观察到系统内部各部分对整个系统可靠性所产生的作用,对于如何提高UUV系统的可靠性提供了有益的参考依据.In this paper, the traditional method of fault tree analysis is briefly introduced. UUV, whose fault tree was built, did not work normally as top-affair. Using Monte-Carlo random sampling method, we establish the simulation model of the UUV, set up the Fault Tree Analysis simulation MATLAB program and engaged in the fault tree quantitative analysis. The life distribution function of the UUV system was obtained through the digital simulation of the FT and the other elements attained are the basic unit importance and the mode importance of the basic units and work out the Mean Time Between Failure. The specific process of the fault tree' s digital simulation is researched. And in this process, we can see the contribution of each part to the reliability of whole system, this is a great help to study the reliability of the UUV system.
分 类 号:TH873.7[机械工程—仪器科学与技术]
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