节点文献
数据挖掘故障诊断专家系统
Air Defense Missile Fault Diagnosis Expert System Based on Data Mining
【摘要】 为了及时准确地对防空导弹飞行试验故障进行诊断,克服传统专家系统获取专家知识的瓶颈,立足于防空导弹飞行试验历史数据,利用数据挖掘的方法获得飞行试验故障模式判定决策树,进而得出导弹故障判定规则,形成故障诊断专家知识库,构建防空导弹故障诊断专家系统。这使数据挖掘和专家系统两者的优点得到充分发挥。
【Abstract】 In order to diagnose Air Defense Missile’s(ADM) failure during Flight Test(FT) well and truly in good time,to overcome the bottleneck of obtaining expert knowledge in conventional expert system(ES),first of all,collected the history data of ADM FT.Then using data mining method,obtained ADM FT failure mode decision trees.They could turn into failure criterion,which could make up of expert knowledge database.Finally,presents an ADM FT fault diagnosis ES based on data mining.This is a perfect structure double-duty their strong suits.
【关键词】 防空导弹;
数据挖掘;
决策树;
专家系统;
故障诊断;
【Key words】 air defense missile; data mining; decision tree; expert system; fault diagnosis;
【Key words】 air defense missile; data mining; decision tree; expert system; fault diagnosis;
【基金】 武器装备重点基金资助项目(KJJH-2008-RWSH-03)
- 【文献出处】 火力与指挥控制 ,Fire Control & Command Control , 编辑部邮箱 ,2011年09期
- 【分类号】TJ760.62;TP182
- 【被引频次】16
- 【下载频次】560