摘要： 利用Rough Set理论处理不分明关系的能力,提出了数据仓库挖掘的原理和方法,并对大量的实时与仿真数据集进行了约简,挖掘出系统参数值与各类故障之间的相互关系,抽取其隐含的关联规则,对实现铁道牵引供电系统性能状态的实时自动监测和故障诊断具有重要的参考价值。

关键词: RoughSet, 数据挖掘, 数据约简, 电力牵引, 故障诊断

Abstract: This paper proposes a principle and methodology about data mining based on Rough Set theory that deals with discernible relation. And then, a great number of information is reduced, relation between parameters and failure is mined, and hidden relational rules are extracted. It is of reference importance about realizing automatically monitoring property status on-line and diagnose failure of the railway pull power system.

中图分类号: 

• U224