摘要
介绍粗糙集理论及信息熵约简方法,应用粗糙集理论对电网故障样本数据进行分析统计,建立决策表,采用信息熵约简算法对其进行条件属性约简,得到一组最小知识系统,再用粗糙集值约简方法对其进行简化,得到一组故障诊断的最小决策规则集,结合模型进行分析,证明该方法简便、快速、有效。
This paper utilizes the information entropy algorithm based on rough set theory to solve the problem of fault diagnosis for power network. Based on rough set theory, this paper analyses the data of power network faults and set up a decision table, and then uses the information entropy algorithm in conditional attributes reduction to gain a reductional system. Subsequently,this paper reduces the new system using the method of rough set reduction, produces a group of minimal decision rules. Accordingly, computing speed will pick up. The model studies show that the method is simple and effective.
出处
《河北电力技术》
2009年第3期21-24,共4页
Hebei Electric Power
关键词
电网故障
故障诊断模型
粗糙集
决策表
信息熵
power network fault
fault diagnosis model
roughset
decision table
information entropy
