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作 者:刘兆政 肖明清[1] 胡阳光[1,2] 李剑峰 王俊东 Liu Zhaozheng;Xiao Mingqing;Hu Yangguang;Li Jianfeng;Wang Jundong(Aeronautics Engineering School,Air Force Engineering University,Xi'an 710038,China;School of Aeronautics,Northwestern Polytechnical University,Xi'an 710072,China;Unit 95920,Hengshui 253801,China)
机构地区:[1]空军工程大学航空工程学院,西安710038 [2]西北工业大学航天学院,西安710072 [3]中国人民解放军95920部队,河北衡水253801
出 处:《计算机测量与控制》2021年第1期126-129,188,共5页Computer Measurement &Control
基 金:国家自然科学基金面上项目(61703337);航天科学与技术创新基金(SAST2017-082)。
摘 要:针对导弹故障诊断过程中出现信息缺失、数据不完备的问题,提出一种基于流向图的导弹故障诊断知识的获取方法;首先,提取故障特征信息,并利用特征关系对故障诊断知识进行分类处理,得到同一特征关系下的故障诊断实例集合;然后,建立不完备故障诊断流向图,并表述出各个节点之间的置信度和覆盖度,作为衡量完整路径的指标,构建导弹故障诊断知识获取框架;最后,结合实例分析,验证该故障诊断知识获取方法具有较好的直观性,为导弹故障诊断工作提供有效参考。Aiming at the problem of missing information and incomplete information in missile fault diagnosis,a method of acquiring missile fault diagnosis knowledge based on flow graph is proposed.Firstly,the fault feature information is extracted,and the fault diagnosis knowledge is classified by using the feature relationship to obtain a set of fault diagnosis examples under the same feature relationship.Then,the flow graph of incomplete fault diagnosis is established,and the confidence and coverage between each node are expressed.As an indicator to measure the complete path,the knowledge acquisition framework of missile fault diagnosis is constructed.Finally,combining with the case analysis,it is verified that the fault diagnosis knowledge acquisition method has a good intuition,which provides an effective reference for missile fault diagnosis.
分 类 号:TJ760[兵器科学与技术—武器系统与运用工程]
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