摘要
为了实现武器装备在测试数据"不确定"、"小子样"、"不完备"情况下的故障诊断,提出基于双边矢量概率矩阵的故障诊断方法;该方法以武器装备的FMEA报告、专家经验和历史案例为基础,分析武器装备中故障原因、故障模式、测试项目间存在的相关性关系,并利用测试项目和故障模式的相关性强弱及测试顺序,结合模糊层次分析法和贝叶斯理论,生成故障原因-故障模式-测试项目双边矢量概率矩阵;在武器装备测试过程中出现故障时,可利用双边矢量概率矩阵对故障现象进行推理,获得导致该故障现象产生的故障原因的可能性大小,从而进行故障原因定位;最后,利用某型装备的部件进行了验证,试验结果证明,该方法能够对武器装备的故障进行推理诊断。
In order to realize the fault diagnosis of weapon equipment under the condition of"uncertain","little sample"and"incomplete"test data,a fault diagnosis method based on bilateral vector probability matrix is proposed;this method is based on the FMEA report of weapon equipment,expert experience and Based on historical cases,analyze the correlation between the causes of failures,failure modes,and test items in weapons and equipment,and use the correlation between test items and failure modes and the test sequence,combined with fuzzy analytic hierarchy process and Bayesian theory,To generate the cause of the failure-failure mode-the bilateral vector probability matrix of the test item;when a failure occurs during the testing of weapons and equipment,the bilateral vector probability matrix can be used to infer the failure phenomenon to obtain the probability of the cause of the failure caused by the failure phenomenon In order to locate the cause of the fault;finally,the components of a certain type of equipment were used for verification.The test results proved that the method can reasonably diagnose the fault of the weapon equipment.
作者
张昭
陈展
佘敦俊
Zhang Zhao;Chen Zhan;She Dunjun(China Aerospace Science And Industry Corporation,Beijing 100854,China;The Third Military Representative office of Seafarers Beijing,Beijing 100074,China;Beijing Institute of Mechanical and Electronic Engineering,Beijing 100074,China)
出处
《计算机测量与控制》
2020年第7期5-8,共4页
Computer Measurement &Control
关键词
双边矢量矩阵
概率矩阵
不完备
小样本
bilateral vector matrix
probability matrix
incomplete
small sample
