【作者】 韩泉东； 胡小平； 李舟军； 李京浩；

【机构】 国防科技大学航天与材料工程学院； 北京航空航天大学计算机学院；

【摘要】 <正>1 引言数据挖掘是从大量的数据中提取隐含在其中的人们事先未知的、但潜在有用的信息和知识的过程。它把人们提升到从数据中挖掘知识、提供决策支持的高度。决策树和支持向量机是数据挖掘中两种重要的分类方法。更多还原

【Abstract】 In this paper, the decision tree and support vector machine methods are applied to the mining of steady test data for liquid rocket engines. Rules of diagnosis are obtained by mining the hot fire test data. The rules are validated by 23 groups of test data. Detection and diagnosis results are compared with those of ANN method. Then simulated data are used to verify the performance of decision tree and svm methods. It shows that decision tree and svm methods can be quickly, efficiently and reliably applied to the FDD of LRE.更多还原