针对某型飞机起落架的一例典型故障,根据其工作原理图,采用故障树分析法(Fault Tree Analysis,FTA)对故障进行分析、诊断,建立了以故障现象为顶事件的故障树及故障结构函数,得到了故障现象对应的所有基本事件。再结合某单位统计的此类...针对某型飞机起落架的一例典型故障,根据其工作原理图,采用故障树分析法(Fault Tree Analysis,FTA)对故障进行分析、诊断,建立了以故障现象为顶事件的故障树及故障结构函数,得到了故障现象对应的所有基本事件。再结合某单位统计的此类故障基本事件的先验概率,通过重要度计算得到了该故障现象的失效概率,制定了故障诊断流程,为该型飞机此类故障的高效诊断、分析、维护提供依据与参考。展开更多
针对某型火炮随动系统的故障数据,对火炮随动系统进行可靠性分析。采用故障模式与影响分析(failure modes and effect analysis,FMEA),通过统计存在的故障模式及原因分析,得到造成火炮随动系统故障的主要原因,提出针对性的改善措施;根据...针对某型火炮随动系统的故障数据,对火炮随动系统进行可靠性分析。采用故障模式与影响分析(failure modes and effect analysis,FMEA),通过统计存在的故障模式及原因分析,得到造成火炮随动系统故障的主要原因,提出针对性的改善措施;根据FMEA结果,建立火炮随动系统故障树,计算火炮随动系统故障的最小割集,将其分为6类,针对不同的底事件故障类别提出改善措施。结果表明:该分析可为提高火炮随动系统的可靠性提供数据支撑,为火炮随动系统的设计和预防维修提供理论依据。展开更多
为了提高某型飞机起落架故障诊断率,分别采用故障树分析法(Fault Tree Analysis,FTA)和FTA与RBF神经网络(Radial Basis Function,RBF)的方法对起落架常见故障进行诊断。首先根据起落架工作原理图,采用FTA方法建立故障树及故障结构函数,...为了提高某型飞机起落架故障诊断率,分别采用故障树分析法(Fault Tree Analysis,FTA)和FTA与RBF神经网络(Radial Basis Function,RBF)的方法对起落架常见故障进行诊断。首先根据起落架工作原理图,采用FTA方法建立故障树及故障结构函数,得到所有的最小割集,计算故障失效概率;然后按照最小割集重要度,筛选出RBF神经网络训练样本的变量数目;最后再结合国内某维修单位的故障统计数据,运用RBF神经网络建立了故障诊断模型,并对模型进行了训练和测试。结果表明,FTA定量计算得到的故障失效概率为71.60%,FTA+RBF结合方法的故障诊断平均预测误差为1.0%。展开更多
In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a que...In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a questionnaire survey method to study the learning effectiveness of students majoring in digital media technology in the China-UK Joint Education Program at Guangxi University of Finance and Economics,focusing on four aspects:learning materials,learning content,teacher conditions,and student learning outcomes.The research analysis in this paper not only provides strong support for the construction of China-UK Joint Education Program but also offers references for other China-UK Joint Education Programs.展开更多
文摘针对某型飞机起落架的一例典型故障,根据其工作原理图,采用故障树分析法(Fault Tree Analysis,FTA)对故障进行分析、诊断,建立了以故障现象为顶事件的故障树及故障结构函数,得到了故障现象对应的所有基本事件。再结合某单位统计的此类故障基本事件的先验概率,通过重要度计算得到了该故障现象的失效概率,制定了故障诊断流程,为该型飞机此类故障的高效诊断、分析、维护提供依据与参考。
文摘针对某型火炮随动系统的故障数据,对火炮随动系统进行可靠性分析。采用故障模式与影响分析(failure modes and effect analysis,FMEA),通过统计存在的故障模式及原因分析,得到造成火炮随动系统故障的主要原因,提出针对性的改善措施;根据FMEA结果,建立火炮随动系统故障树,计算火炮随动系统故障的最小割集,将其分为6类,针对不同的底事件故障类别提出改善措施。结果表明:该分析可为提高火炮随动系统的可靠性提供数据支撑,为火炮随动系统的设计和预防维修提供理论依据。
文摘为了提高某型飞机起落架故障诊断率,分别采用故障树分析法(Fault Tree Analysis,FTA)和FTA与RBF神经网络(Radial Basis Function,RBF)的方法对起落架常见故障进行诊断。首先根据起落架工作原理图,采用FTA方法建立故障树及故障结构函数,得到所有的最小割集,计算故障失效概率;然后按照最小割集重要度,筛选出RBF神经网络训练样本的变量数目;最后再结合国内某维修单位的故障统计数据,运用RBF神经网络建立了故障诊断模型,并对模型进行了训练和测试。结果表明,FTA定量计算得到的故障失效概率为71.60%,FTA+RBF结合方法的故障诊断平均预测误差为1.0%。
基金Guangxi Key Laboratory of Financial Big Data Fund Project(Guikejizi[2021]No.5)Research on the Innovation of Teaching Models for Foreign Professional Courses in China-UK Joint Education Under the Background of Internationalization-Taking Guangxi University of Finance and Economics as an Example(2023XJJG26)Exploration and Practice of Digital Media Technology Talent Training Models in the Context of New Productive Forces(XGK202423)。
文摘In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a questionnaire survey method to study the learning effectiveness of students majoring in digital media technology in the China-UK Joint Education Program at Guangxi University of Finance and Economics,focusing on four aspects:learning materials,learning content,teacher conditions,and student learning outcomes.The research analysis in this paper not only provides strong support for the construction of China-UK Joint Education Program but also offers references for other China-UK Joint Education Programs.