• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2006, Vol. 28 ›› Issue (11): 68-69.

• 论文 • 上一篇    下一篇

某型发动机试车数据库数据挖掘技术研究

雷勇 李长征 彭兴慧   

  • 出版日期:2006-11-01 发布日期:2010-05-20

  • Online:2006-11-01 Published:2010-05-20

摘要:

本文对某型航空发动机试车数据的数据挖掘技术应用作了研究。根据数据的特点采用粗糙集理论,研究了数据离散化处理,通过知识约简,形成了分类规则。结果表明,所得出的规则是正确的,为试车工作提供了有价值的决策信息。

关键词: 数据挖掘 粗糙集 属性约简 发动机试车

Abstract:

In this paper, data mining techniques are introduced to investigate the test-drlving database of aero-engines. This paper introduces the basic concepts of rough set first and discusses its application in data mining based on the aero-engine test-drlving database characteristics. The rules obtained from the data mining procedure are correct and can provide valuable information for aero-engine tests. The results show that it is feasible to employ data  mining techniques for analyzing the aero-engine test-driving database,

Key words: (data mining, rough set, attribute reduction, aero-engine test)